1. 新增说明文档《product_enrich模块说明.md》

2. 删掉自动推断 taxonomy profile的逻辑，build_index_content_fields() 3. 所有 taxonomy profile 都输出 zh/en”，并把按行业切语言的逻辑去掉只接受显式传入的 category_taxonomy_profile

1. 新增说明文档《product_enrich模块说明.md》
2. 删掉自动推断 taxonomy profile的逻辑，build_index_content_fields() 3. 所有 taxonomy profile 都输出 zh/en”，并把按行业切语言的逻辑去掉只接受显式传入的 category_taxonomy_profile
tangwang
1 parent dabd52a5
Showing 10 changed files with 427 additions and 409 deletions Show diff stats
config/config.yaml
docs/搜索API对接指南-05-索引接口（Indexer）.md
docs/搜索API对接指南-07-微服务接口（Embedding-Reranker-Translation）.md
indexer/document_transformer.py
indexer/product_enrich.py
indexer/product_enrich_prompts.py
indexer/product_enrich模块说明.md
indexer/taxonomy.md
tests/test_llm_enrichment_batch_fill.py
tests/test_product_enrich_partial_mode.py
@@ -114,6 +114,7 @@ field_boosts:
   qanchors: 1.0
   enriched_tags: 1.0
   enriched_attributes.value: 1.5
+  enriched_taxonomy_attributes.value: 0.3
   category_name_text: 2.0
   category_path: 2.0
   keywords: 2.0
@@ -194,6 +195,7 @@ query_config:
     - qanchors
     - enriched_tags
     - enriched_attributes.value
+    - enriched_taxonomy_attributes.value
     - option1_values
     - option2_values
     - option3_values
@@ -252,6 +254,7 @@ query_config:
   # - qanchors
   # - enriched_tags
   # - enriched_attributes
+  # - enriched_taxonomy_attributes.value
   - min_price
   - compare_at_price
   - image_url
@@ -668,9 +668,9 @@ curl -X POST &quot;http://127.0.0.1:6004/indexer/build-docs-from-db&quot; \
 - `others`
  
 说明：
-- `apparel` 仍返回 `zh` + `en` 两种 taxonomy 值。
-- 其余 profile 的 `enriched_taxonomy_attributes.value` 只返回 `en`，以控制字段体积并保持结构简单。
-- Indexer 内部构建 ES 文档时，如果调用链没有显式指定 profile，会优先根据商品的类目字段自动推断 taxonomy profile；外部调用 `/indexer/enrich-content` 时仍以请求中的 `category_taxonomy_profile` 为准。
+- 所有 profile 的 `enriched_taxonomy_attributes.value` 都统一返回 `zh` + `en`。
+- 外部调用 `/indexer/enrich-content` 时，以请求中的 `category_taxonomy_profile` 为准。
+- 当前 Indexer 内部构建 ES 文档时，taxonomy profile 暂时固定使用 `apparel`；代码里已保留 TODO，后续从数据库读取该租户真实所属行业后再替换。
  
 #### 请求参数
  
@@ -726,8 +726,7 @@ curl -X POST &quot;http://127.0.0.1:6004/indexer/build-docs-from-db&quot; \
  
 - 接口不接受语言控制参数。
 - 返回哪些语言、返回哪些语义维度，统一由 `indexer.product_enrich` 内部逻辑决定。
-- 当前为了与 `search_products` mapping 对齐，通用增强字段只包含核心索引语言 `zh`、`en`。
-- taxonomy 字段中，`apparel` 返回 `zh`、`en`；其他 profile 仅返回 `en`。
+- 当前为了与 `search_products` mapping 对齐，通用增强字段与 taxonomy 字段都统一只返回核心索引语言 `zh`、`en`。
  
 批量请求建议：
 - **全量**：强烈建议 尽可能 **20 个 SPU/doc** 攒成一个批次后再请求一次。
@@ -787,7 +786,7 @@ curl -X POST &quot;http://127.0.0.1:6004/indexer/build-docs-from-db&quot; \
 | `results[].qanchors` | object | 与 ES `qanchors` 字段同结构，按语言键返回短语数组 |
 | `results[].enriched_tags` | object | 与 ES `enriched_tags` 字段同结构，按语言键返回标签数组 |
 | `results[].enriched_attributes` | array | 与 ES `enriched_attributes` nested 字段同结构，每项为 `{ "name", "value": { "zh"?: "...", "en"?: "..." } }` |
-| `results[].enriched_taxonomy_attributes` | array | 与 ES `enriched_taxonomy_attributes` nested 字段同结构。`apparel` 每项通常为 `{ "name", "value": { "zh"?: [...], "en"?: [...] } }`；其他 profile 仅返回 `{ "name", "value": { "en": [...] } }` |
+| `results[].enriched_taxonomy_attributes` | array | 与 ES `enriched_taxonomy_attributes` nested 字段同结构。每项通常为 `{ "name", "value": { "zh"?: [...], "en"?: [...] } }` |
 | `results[].error` | string | 若该条处理失败（如 LLM 异常），会在此字段返回错误信息 |
  
 **错误响应**:
@@ -444,7 +444,7 @@ curl &quot;http://localhost:6006/health&quot;
  
 - **Base URL**: Indexer 服务地址，如 `http://localhost:6004`
 - **路径**: `POST /indexer/enrich-content`
-- **说明**: 根据商品标题批量生成 `qanchors`、`enriched_attributes`、`enriched_tags`、`enriched_taxonomy_attributes`，用于拼装 ES 文档。支持通过 `enrichment_scopes` 选择执行 `generic` / `category_taxonomy`，并通过 `category_taxonomy_profile` 选择对应大类的 taxonomy prompt/profile；默认执行 `generic + category_taxonomy(apparel)`。当前支持的 taxonomy profile 包括 `apparel`、`3c`、`bags`、`pet_supplies`、`electronics`、`outdoor`、`home_appliances`、`home_living`、`wigs`、`beauty`、`accessories`、`toys`、`shoes`、`sports`、`others`。其中 `apparel` 的 taxonomy 输出为 `zh` + `en`，其余 profile 的 taxonomy 输出仅返回 `en`。内部使用大模型（需配置 `DASHSCOPE_API_KEY`），支持多语言与 Redis 缓存；单次最多 50 条，建议批量调用以提升效率。
+- **说明**: 根据商品标题批量生成 `qanchors`、`enriched_attributes`、`enriched_tags`、`enriched_taxonomy_attributes`，用于拼装 ES 文档。支持通过 `enrichment_scopes` 选择执行 `generic` / `category_taxonomy`，并通过 `category_taxonomy_profile` 选择对应大类的 taxonomy prompt/profile；默认执行 `generic + category_taxonomy(apparel)`。当前支持的 taxonomy profile 包括 `apparel`、`3c`、`bags`、`pet_supplies`、`electronics`、`outdoor`、`home_appliances`、`home_living`、`wigs`、`beauty`、`accessories`、`toys`、`shoes`、`sports`、`others`。所有 profile 的 taxonomy 输出都统一返回 `zh` + `en`，`category_taxonomy_profile` 只决定字段集合。内部使用大模型（需配置 `DASHSCOPE_API_KEY`），支持多语言与 Redis 缓存；单次最多 50 条，建议批量调用以提升效率。
  
 请求/响应格式、示例及错误码见 [-05-索引接口（Indexer）](./搜索API对接指南-05-索引接口（Indexer）.md#58-内容理解字段生成接口)。
  
@@ -259,13 +259,6 @@ class SPUDocumentTransformer:
             title = str(row.get("title") or "").strip()
             if not spu_id or not title:
                 continue
-            category_path_obj = docs[i].get("category_path") or {}
-            resolved_category_path = ""
-            if isinstance(category_path_obj, dict):
-                resolved_category_path = next(
-                    (str(value).strip() for value in category_path_obj.values() if str(value).strip()),
-                    "",
-                )
             id_to_idx[spu_id] = i
             items.append(
                 {
@@ -274,9 +267,6 @@ class SPUDocumentTransformer:
                     "brief": str(row.get("brief") or "").strip(),
                     "description": str(row.get("description") or "").strip(),
                     "image_url": str(row.get("image_src") or "").strip(),
-                    "category": str(row.get("category") or "").strip(),
-                    "category_path": resolved_category_path,
-                    "category1_name": str(docs[i].get("category1_name") or "").strip(),
                 }
             )
         if not items:
@@ -284,7 +274,12 @@ class SPUDocumentTransformer:
  
         tenant_id = str(docs[0].get("tenant_id") or "").strip() or None
         try:
-            results = build_index_content_fields(items=items, tenant_id=tenant_id)
+            # TODO: 从数据库读取该 tenant 的真实行业，并据此替换当前默认的 apparel profile。
+            results = build_index_content_fields(
+                items=items,
+                tenant_id=tenant_id,
+                category_taxonomy_profile="apparel",
+            )
         except Exception as e:
             logger.warning("LLM batch attribute fill failed: %s", e)
             return
@@ -679,6 +674,7 @@ class SPUDocumentTransformer:
  
         tenant_id = doc.get("tenant_id")
         try:
+            # TODO: 从数据库读取该 tenant 的真实行业，并据此替换当前默认的 apparel profile。
             results = build_index_content_fields(
                 items=[
                     {
@@ -687,19 +683,10 @@ class SPUDocumentTransformer:
                         "brief": str(spu_row.get("brief") or "").strip(),
                         "description": str(spu_row.get("description") or "").strip(),
                         "image_url": str(spu_row.get("image_src") or "").strip(),
-                        "category": str(spu_row.get("category") or "").strip(),
-                        "category_path": next(
-                            (
-                                str(value).strip()
-                                for value in (doc.get("category_path") or {}).values()
-                                if str(value).strip()
-                            ),
-                            "",
-                        ),
-                        "category1_name": str(doc.get("category1_name") or "").strip(),
                     }
                 ],
                 tenant_id=str(tenant_id),
+                category_taxonomy_profile="apparel",
             )
         except Exception as e:
             logger.warning("LLM attribute fill failed for SPU %s: %s", spu_id, e)
@@ -18,7 +18,7 @@ from dataclasses import dataclass, field
 from collections import OrderedDict
 from datetime import datetime
 from concurrent.futures import ThreadPoolExecutor
-from typing import List, Dict, Tuple, Any, Optional
+from typing import List, Dict, Tuple, Any, Optional, FrozenSet
  
 import redis
 import requests
@@ -146,8 +146,22 @@ if _missing_prompt_langs:
     )
  
  
-# 多值字段分隔：英文逗号、中文逗号、顿号，及历史约定的 ; | / 与空白
+# 多值字段分隔
 _MULTI_VALUE_FIELD_SPLIT_RE = re.compile(r"[，、,;|/\n\t]+")
+# 表格单元格中视为「无内容」的占位
+_MARKDOWN_EMPTY_CELL_LITERALS: Tuple[str, ...] = ("-","–", "—", "none", "null", "n/a", "无")
+_MARKDOWN_EMPTY_CELL_TOKENS_CF: FrozenSet[str] = frozenset(
+    lit.casefold() for lit in _MARKDOWN_EMPTY_CELL_LITERALS
+)
+
+def _normalize_markdown_table_cell(raw: Optional[str]) -> str:
+    """strip；将占位符统一视为空字符串。"""
+    s = str(raw or "").strip()
+    if not s:
+        return ""
+    if s.casefold() in _MARKDOWN_EMPTY_CELL_TOKENS_CF:
+        return ""
+    return s
 _CORE_INDEX_LANGUAGES = ("zh", "en")
 _DEFAULT_ENRICHMENT_SCOPES = ("generic", "category_taxonomy")
 _DEFAULT_CATEGORY_TAXONOMY_PROFILE = "apparel"
@@ -195,19 +209,12 @@ class AnalysisSchema:
     markdown_table_headers: Dict[str, List[str]]
     result_fields: Tuple[str, ...]
     meaningful_fields: Tuple[str, ...]
-    output_languages: Tuple[str, ...] = ("zh", "en")
     cache_version: str = "v1"
     field_aliases: Dict[str, Tuple[str, ...]] = field(default_factory=dict)
-    fallback_headers: Optional[List[str]] = None
     quality_fields: Tuple[str, ...] = ()
  
     def get_headers(self, target_lang: str) -> Optional[List[str]]:
-        headers = self.markdown_table_headers.get(target_lang)
-        if headers:
-            return headers
-        if self.fallback_headers:
-            return self.fallback_headers
-        return None
+        return self.markdown_table_headers.get(target_lang)
  
  
 _ANALYSIS_SCHEMAS: Dict[str, AnalysisSchema] = {
@@ -217,7 +224,6 @@ _ANALYSIS_SCHEMAS: Dict[str, AnalysisSchema] = {
         markdown_table_headers=LANGUAGE_MARKDOWN_TABLE_HEADERS,
         result_fields=_CONTENT_ANALYSIS_RESULT_FIELDS,
         meaningful_fields=_CONTENT_ANALYSIS_MEANINGFUL_FIELDS,
-        output_languages=_CORE_INDEX_LANGUAGES,
         cache_version="v2",
         field_aliases=_CONTENT_ANALYSIS_FIELD_ALIASES,
         quality_fields=_CONTENT_ANALYSIS_QUALITY_FIELDS,
@@ -225,17 +231,13 @@ _ANALYSIS_SCHEMAS: Dict[str, AnalysisSchema] = {
 }
  
 def _build_taxonomy_profile_schema(profile: str, config: Dict[str, Any]) -> AnalysisSchema:
-    result_fields = tuple(field["key"] for field in config["fields"])
-    headers = config["markdown_table_headers"]
     return AnalysisSchema(
         name=f"taxonomy:{profile}",
         shared_instruction=config["shared_instruction"],
-        markdown_table_headers=headers,
-        result_fields=result_fields,
-        meaningful_fields=result_fields,
-        output_languages=tuple(config["output_languages"]),
+        markdown_table_headers=config["markdown_table_headers"],
+        result_fields=tuple(field["key"] for field in config["fields"]),
+        meaningful_fields=tuple(field["key"] for field in config["fields"]),
         cache_version="v1",
-        fallback_headers=headers.get("en") if len(headers) > 1 else None,
     )
  
  
@@ -254,29 +256,6 @@ def get_supported_category_taxonomy_profiles() -&gt; Tuple[str, ...]:
     return tuple(_CATEGORY_TAXONOMY_PROFILE_SCHEMAS.keys())
  
  
-def _normalize_category_hint(text: Any) -> str:
-    value = str(text or "").strip().lower()
-    if not value:
-        return ""
-    value = value.replace("_", " ").replace(">", " ").replace("/", " ")
-    value = re.sub(r"\s+", " ", value)
-    return value
-
-
-_CATEGORY_TAXONOMY_PROFILE_ALIAS_MATCHERS: Tuple[Tuple[str, str], ...] = tuple(
-    sorted(
-        (
-            (_normalize_category_hint(alias), profile)
-            for profile, config in CATEGORY_TAXONOMY_PROFILES.items()
-            for alias in (profile, *tuple(config.get("aliases") or ()))
-            if _normalize_category_hint(alias)
-        ),
-        key=lambda item: len(item[0]),
-        reverse=True,
-    )
-)
-
-
 def _normalize_category_taxonomy_profile(category_taxonomy_profile: Optional[str] = None) -> str:
     profile = str(category_taxonomy_profile or _DEFAULT_CATEGORY_TAXONOMY_PROFILE).strip()
     if profile not in _CATEGORY_TAXONOMY_PROFILE_SCHEMAS:
@@ -287,41 +266,6 @@ def _normalize_category_taxonomy_profile(category_taxonomy_profile: Optional[str
     return profile
  
  
-def detect_category_taxonomy_profile(item: Dict[str, Any]) -> Optional[str]:
-    """
-    根据商品已有类目信息猜测 taxonomy profile。
-    未命中时返回 None，由上层决定是否回退到默认 profile。
-    """
-    category_hints = (
-        item.get("category_taxonomy_profile"),
-        item.get("category1_name"),
-        item.get("category_name_text"),
-        item.get("category"),
-        item.get("category_path"),
-    )
-    for hint in category_hints:
-        normalized_hint = _normalize_category_hint(hint)
-        if not normalized_hint:
-            continue
-        for alias, profile in _CATEGORY_TAXONOMY_PROFILE_ALIAS_MATCHERS:
-            if alias and alias in normalized_hint:
-                return profile
-    return None
-
-
-def _resolve_category_taxonomy_profile(
-    item: Dict[str, Any],
-    fallback_profile: Optional[str] = None,
-) -> str:
-    explicit_profile = str(item.get("category_taxonomy_profile") or "").strip()
-    if explicit_profile:
-        return _normalize_category_taxonomy_profile(explicit_profile)
-    detected_profile = detect_category_taxonomy_profile(item)
-    if detected_profile:
-        return detected_profile
-    return _normalize_category_taxonomy_profile(fallback_profile)
-
-
 def _get_analysis_schema(
     analysis_kind: str,
     *,
@@ -342,17 +286,6 @@ def _get_taxonomy_attribute_field_map(
     return _CATEGORY_TAXONOMY_PROFILE_ATTRIBUTE_FIELD_MAPS[profile]
  
  
-def _get_analysis_output_languages(
-    analysis_kind: str,
-    *,
-    category_taxonomy_profile: Optional[str] = None,
-) -> Tuple[str, ...]:
-    return _get_analysis_schema(
-        analysis_kind,
-        category_taxonomy_profile=category_taxonomy_profile,
-    ).output_languages
-
-
 def _normalize_enrichment_scopes(
     enrichment_scopes: Optional[List[str]] = None,
 ) -> Tuple[str, ...]:
@@ -562,11 +495,6 @@ def _normalize_index_content_item(item: Dict[str, Any]) -&gt; Dict[str, str]:
         "brief": str(item.get("brief") or "").strip(),
         "description": str(item.get("description") or "").strip(),
         "image_url": str(item.get("image_url") or "").strip(),
-        "category": str(item.get("category") or "").strip(),
-        "category_path": str(item.get("category_path") or "").strip(),
-        "category_name_text": str(item.get("category_name_text") or "").strip(),
-        "category1_name": str(item.get("category1_name") or "").strip(),
-        "category_taxonomy_profile": str(item.get("category_taxonomy_profile") or "").strip(),
     }
  
  
@@ -584,8 +512,7 @@ def build_index_content_fields(
     - `title`
     - 可选 `brief` / `description` / `image_url`
     - 可选 `enrichment_scopes`，默认同时执行 `generic` 与 `category_taxonomy`
-    - 可选 `category_taxonomy_profile`；若不传，则优先根据 item 自带的类目字段推断，否则回退到默认 `apparel`
-    - 可选类目提示字段：`category` / `category_path` / `category_name_text` / `category1_name`
+    - 可选 `category_taxonomy_profile`，默认 `apparel`
  
     返回项结构：
     - `id`
@@ -600,21 +527,10 @@ def build_index_content_fields(
     - `enriched_tags.{lang}` 为标签数组
     """
     requested_enrichment_scopes = _normalize_enrichment_scopes(enrichment_scopes)
-    fallback_taxonomy_profile = (
-        _normalize_category_taxonomy_profile(category_taxonomy_profile)
-        if category_taxonomy_profile
-        else None
-    )
+    normalized_taxonomy_profile = _normalize_category_taxonomy_profile(category_taxonomy_profile)
     normalized_items = [_normalize_index_content_item(item) for item in items]
     if not normalized_items:
         return []
-    taxonomy_profile_by_id = {
-        item["id"]: _resolve_category_taxonomy_profile(
-            item,
-            fallback_profile=fallback_taxonomy_profile,
-        )
-        for item in normalized_items
-    }
  
     results_by_id: Dict[str, Dict[str, Any]] = {
         item["id"]: {
@@ -627,7 +543,7 @@ def build_index_content_fields(
         for item in normalized_items
     }
  
-    for lang in _get_analysis_output_languages("content"):
+    for lang in _CORE_INDEX_LANGUAGES:
         if "generic" in requested_enrichment_scopes:
             try:
                 rows = analyze_products(
@@ -636,7 +552,7 @@ def build_index_content_fields(
                     batch_size=BATCH_SIZE,
                     tenant_id=tenant_id,
                     analysis_kind="content",
-                    category_taxonomy_profile=fallback_taxonomy_profile,
+                    category_taxonomy_profile=normalized_taxonomy_profile,
                 )
             except Exception as e:
                 logger.warning("build_index_content_fields content enrichment failed for lang=%s: %s", lang, e)
@@ -654,48 +570,40 @@ def build_index_content_fields(
                 _apply_index_content_row(results_by_id[item_id], row=row, lang=lang)
  
     if "category_taxonomy" in requested_enrichment_scopes:
-        items_by_profile: Dict[str, List[Dict[str, str]]] = {}
-        for item in normalized_items:
-            items_by_profile.setdefault(taxonomy_profile_by_id[item["id"]], []).append(item)
-
-        for taxonomy_profile, profile_items in items_by_profile.items():
-            for lang in _get_analysis_output_languages(
-                "taxonomy",
-                category_taxonomy_profile=taxonomy_profile,
-            ):
-                try:
-                    taxonomy_rows = analyze_products(
-                        products=profile_items,
-                        target_lang=lang,
-                        batch_size=BATCH_SIZE,
-                        tenant_id=tenant_id,
-                        analysis_kind="taxonomy",
-                        category_taxonomy_profile=taxonomy_profile,
-                    )
-                except Exception as e:
-                    logger.warning(
-                        "build_index_content_fields taxonomy enrichment failed for profile=%s lang=%s: %s",
-                        taxonomy_profile,
-                        lang,
-                        e,
-                    )
-                    for item in profile_items:
-                        results_by_id[item["id"]].setdefault("error", str(e))
-                    continue
+        for lang in _CORE_INDEX_LANGUAGES:
+            try:
+                taxonomy_rows = analyze_products(
+                    products=normalized_items,
+                    target_lang=lang,
+                    batch_size=BATCH_SIZE,
+                    tenant_id=tenant_id,
+                    analysis_kind="taxonomy",
+                    category_taxonomy_profile=normalized_taxonomy_profile,
+                )
+            except Exception as e:
+                logger.warning(
+                    "build_index_content_fields taxonomy enrichment failed for profile=%s lang=%s: %s",
+                    normalized_taxonomy_profile,
+                    lang,
+                    e,
+                )
+                for item in normalized_items:
+                    results_by_id[item["id"]].setdefault("error", str(e))
+                continue
  
-                for row in taxonomy_rows or []:
-                    item_id = str(row.get("id") or "").strip()
-                    if not item_id or item_id not in results_by_id:
-                        continue
-                    if row.get("error"):
-                        results_by_id[item_id].setdefault("error", row["error"])
-                        continue
-                    _apply_index_taxonomy_row(
-                        results_by_id[item_id],
-                        row=row,
-                        lang=lang,
-                        category_taxonomy_profile=taxonomy_profile,
-                    )
+            for row in taxonomy_rows or []:
+                item_id = str(row.get("id") or "").strip()
+                if not item_id or item_id not in results_by_id:
+                    continue
+                if row.get("error"):
+                    results_by_id[item_id].setdefault("error", row["error"])
+                    continue
+                _apply_index_taxonomy_row(
+                    results_by_id[item_id],
+                    row=row,
+                    lang=lang,
+                    category_taxonomy_profile=normalized_taxonomy_profile,
+                )
  
     return [results_by_id[item["id"]] for item in normalized_items]
  
@@ -1173,7 +1081,8 @@ def parse_markdown_table(
             if len(parts) >= 2:
                 row = {"seq_no": parts[0]}
                 for field_index, field_name in enumerate(schema.result_fields, start=1):
-                    row[field_name] = parts[field_index] if len(parts) > field_index else ""
+                    cell = parts[field_index] if len(parts) > field_index else ""
+                    row[field_name] = _normalize_markdown_table_cell(cell)
                 data.append(row)
  
     return data
@@ -60,11 +60,9 @@ def _build_taxonomy_shared_instruction(profile_label: str, fields: Tuple[Dict[st
             "",
             "Rules:",
             "- Keep the same row order and row count as input.",
-            "- Infer only from the provided product text.",
-            "- Leave blank if not applicable or not reasonably supported.",
+            "- Leave blank if not applicable, unmentioned, or unsupported.",
             "- Use concise, standardized ecommerce wording.",
-            "- Do not combine different attribute dimensions in one field.",
-            "- If multiple values are needed, use the delimiter required by the localization setting.",
+            "- If multiple values, separate with commas.",
             "",
             "Input product list:",
         ]
@@ -75,19 +73,14 @@ def _build_taxonomy_shared_instruction(profile_label: str, fields: Tuple[Dict[st
 def _make_taxonomy_profile(
     profile_label: str,
     fields: Tuple[Dict[str, str], ...],
-    *,
-    aliases: Tuple[str, ...],
-    output_languages: Tuple[str, ...] = ("en",),
-    zh_headers: Tuple[str, ...] = (),
 ) -> Dict[str, Any]:
-    headers = {"en": ["No.", *[field["label"] for field in fields]]}
-    if zh_headers:
-        headers["zh"] = ["序号", *zh_headers]
+    headers = {
+        "en": ["No.", *[field["label"] for field in fields]],
+        "zh": ["序号", *[field["zh_label"] for field in fields]],
+    }
     return {
         "profile_label": profile_label,
         "fields": fields,
-        "aliases": aliases,
-        "output_languages": output_languages,
         "shared_instruction": _build_taxonomy_shared_instruction(profile_label, fields),
         "markdown_table_headers": headers,
     }
@@ -123,268 +116,250 @@ APPAREL_TAXONOMY_FIELDS = (
 )
  
 THREE_C_TAXONOMY_FIELDS = (
-    _taxonomy_field("product_type", "Product Type", "concise 3C accessory or peripheral category label"),
-    _taxonomy_field("compatible_device", "Compatible Device / Model", "supported device family, series, model, or form factor when clearly stated"),
-    _taxonomy_field("connectivity", "Connectivity", "connection method such as wired, wireless, Bluetooth, Wi-Fi, NFC, or 2.4G"),
-    _taxonomy_field("interface_port_type", "Interface / Port Type", "relevant connector or port, e.g. USB-C, Lightning, HDMI, AUX, RJ45"),
-    _taxonomy_field("power_charging", "Power Source / Charging", "charging or power mode, e.g. battery powered, fast charging, rechargeable, plug-in"),
-    _taxonomy_field("key_features", "Key Features", "primary hardware features such as noise cancelling, foldable, magnetic, backlit, waterproof"),
-    _taxonomy_field("material_finish", "Material / Finish", "main material or exterior finish when supported"),
-    _taxonomy_field("color", "Color", "specific color name when available"),
-    _taxonomy_field("pack_size", "Pack Size", "unit count or bundle size when stated"),
-    _taxonomy_field("use_case", "Use Case", "intended usage such as travel, office, gaming, car, charging, streaming"),
+    _taxonomy_field("product_type", "Product Type", "concise 3C accessory or peripheral category label", "品类"),
+    _taxonomy_field("compatible_device", "Compatible Device / Model", "supported device family, series, model, or form factor when clearly stated", "适配设备 / 型号"),
+    _taxonomy_field("connectivity", "Connectivity", "connection method such as wired, wireless, Bluetooth, Wi-Fi, NFC, or 2.4G", "连接方式"),
+    _taxonomy_field("interface_port_type", "Interface / Port Type", "relevant connector or port, e.g. USB-C, Lightning, HDMI, AUX, RJ45", "接口 / 端口类型"),
+    _taxonomy_field("power_charging", "Power Source / Charging", "charging or power mode, e.g. battery powered, fast charging, rechargeable, plug-in", "供电 / 充电方式"),
+    _taxonomy_field("key_features", "Key Features", "primary hardware features such as noise cancelling, foldable, magnetic, backlit, waterproof", "关键特征"),
+    _taxonomy_field("material_finish", "Material / Finish", "main material or exterior finish when supported", "材质 / 表面处理"),
+    _taxonomy_field("color", "Color", "specific color name when available", "主颜色"),
+    _taxonomy_field("pack_size", "Pack Size", "unit count or bundle size when stated", "包装规格"),
+    _taxonomy_field("use_case", "Use Case", "intended usage such as travel, office, gaming, car, charging, streaming", "使用场景"),
 )
  
 BAGS_TAXONOMY_FIELDS = (
-    _taxonomy_field("product_type", "Product Type", "concise bag category such as backpack, tote bag, crossbody bag, luggage, or wallet"),
-    _taxonomy_field("target_gender", "Target Gender", "intended gender only if clearly implied"),
-    _taxonomy_field("carry_style", "Carry Style", "how the bag is worn or carried, e.g. handheld, shoulder, crossbody, backpack"),
-    _taxonomy_field("size_capacity", "Size / Capacity", "size tier or capacity when supported, e.g. mini, large capacity, 20L"),
-    _taxonomy_field("material", "Material", "main bag material such as leather, nylon, canvas, PU, straw"),
-    _taxonomy_field("closure_type", "Closure Type", "bag closure such as zipper, flap, buckle, drawstring, magnetic snap"),
-    _taxonomy_field("structure_compartments", "Structure / Compartments", "organizational structure such as multi-pocket, laptop sleeve, card slots, expandable"),
-    _taxonomy_field("strap_handle_type", "Strap / Handle Type", "strap or handle design such as chain strap, top handle, adjustable strap"),
-    _taxonomy_field("color", "Color", "specific color name when available"),
-    _taxonomy_field("occasion_end_use", "Occasion / End Use", "likely use such as commute, travel, evening, school, casual"),
+    _taxonomy_field("product_type", "Product Type", "concise bag category such as backpack, tote bag, crossbody bag, luggage, or wallet", "品类"),
+    _taxonomy_field("target_gender", "Target Gender", "intended gender only if clearly implied", "目标性别"),
+    _taxonomy_field("carry_style", "Carry Style", "how the bag is worn or carried, e.g. handheld, shoulder, crossbody, backpack", "携带方式"),
+    _taxonomy_field("size_capacity", "Size / Capacity", "size tier or capacity when supported, e.g. mini, large capacity, 20L", "尺寸 / 容量"),
+    _taxonomy_field("material", "Material", "main bag material such as leather, nylon, canvas, PU, straw", "材质"),
+    _taxonomy_field("closure_type", "Closure Type", "bag closure such as zipper, flap, buckle, drawstring, magnetic snap", "闭合方式"),
+    _taxonomy_field("structure_compartments", "Structure / Compartments", "organizational structure such as multi-pocket, laptop sleeve, card slots, expandable", "结构 / 分层"),
+    _taxonomy_field("strap_handle_type", "Strap / Handle Type", "strap or handle design such as chain strap, top handle, adjustable strap", "肩带 / 提手类型"),
+    _taxonomy_field("color", "Color", "specific color name when available", "主颜色"),
+    _taxonomy_field("occasion_end_use", "Occasion / End Use", "likely use such as commute, travel, evening, school, casual", "适用场景"),
 )
  
 PET_SUPPLIES_TAXONOMY_FIELDS = (
-    _taxonomy_field("product_type", "Product Type", "concise pet supplies category label"),
-    _taxonomy_field("pet_type", "Pet Type", "target pet such as dog, cat, bird, fish, hamster"),
-    _taxonomy_field("breed_size", "Breed Size", "pet size or breed size when stated, e.g. small breed, large dogs"),
-    _taxonomy_field("life_stage", "Life Stage", "pet age stage when supported, e.g. puppy, kitten, adult, senior"),
-    _taxonomy_field("material_ingredients", "Material / Ingredients", "main material or ingredient composition when supported"),
-    _taxonomy_field("flavor_scent", "Flavor / Scent", "flavor or scent when applicable"),
-    _taxonomy_field("key_features", "Key Features", "primary attributes such as interactive, leak-proof, orthopedic, washable, elevated"),
-    _taxonomy_field("functional_benefits", "Functional Benefits", "benefits such as dental care, calming, digestion support, joint support"),
-    _taxonomy_field("size_capacity", "Size / Capacity", "size, count, or net content when stated"),
-    _taxonomy_field("use_scenario", "Use Scenario", "usage such as feeding, training, grooming, travel, indoor play"),
+    _taxonomy_field("product_type", "Product Type", "concise pet supplies category label", "品类"),
+    _taxonomy_field("pet_type", "Pet Type", "target pet such as dog, cat, bird, fish, hamster", "宠物类型"),
+    _taxonomy_field("breed_size", "Breed Size", "pet size or breed size when stated, e.g. small breed, large dogs", "体型 / 品种大小"),
+    _taxonomy_field("life_stage", "Life Stage", "pet age stage when supported, e.g. puppy, kitten, adult, senior", "成长阶段"),
+    _taxonomy_field("material_ingredients", "Material / Ingredients", "main material or ingredient composition when supported", "材质 / 成分"),
+    _taxonomy_field("flavor_scent", "Flavor / Scent", "flavor or scent when applicable", "口味 / 气味"),
+    _taxonomy_field("key_features", "Key Features", "primary attributes such as interactive, leak-proof, orthopedic, washable, elevated", "关键特征"),
+    _taxonomy_field("functional_benefits", "Functional Benefits", "benefits such as dental care, calming, digestion support, joint support", "功能"),
+    _taxonomy_field("size_capacity", "Size / Capacity", "size, count, or net content when stated", "尺寸 / 容量"),
+    _taxonomy_field("use_scenario", "Use Scenario", "usage such as feeding, training, grooming, travel, indoor play", "使用场景"),
 )
  
 ELECTRONICS_TAXONOMY_FIELDS = (
-    _taxonomy_field("product_type", "Product Type", "concise electronics device or component category label"),
-    _taxonomy_field("device_category", "Device Category / Compatibility", "supported platform, component class, or compatible device family when stated"),
-    _taxonomy_field("power_voltage", "Power / Voltage", "power, voltage, wattage, or battery spec when supported"),
-    _taxonomy_field("connectivity", "Connectivity", "connection method such as wired, Bluetooth, Wi-Fi, RF, or smart app control"),
-    _taxonomy_field("interface_port_type", "Interface / Port Type", "relevant port or interface such as USB-C, AC plug type, HDMI, SATA"),
-    _taxonomy_field("capacity_storage", "Capacity / Storage", "capacity or storage spec such as 256GB, 2TB, 5000mAh"),
-    _taxonomy_field("key_features", "Key Features", "main product features such as touch control, HD display, noise reduction, smart control"),
-    _taxonomy_field("material_finish", "Material / Finish", "main housing material or finish when supported"),
-    _taxonomy_field("color", "Color", "specific color name when available"),
-    _taxonomy_field("use_case", "Use Case", "intended use such as home entertainment, office, charging, security, repair"),
+    _taxonomy_field("product_type", "Product Type", "concise electronics device or component category label", "品类"),
+    _taxonomy_field("device_category", "Device Category / Compatibility", "supported platform, component class, or compatible device family when stated", "设备类别 / 兼容性"),
+    _taxonomy_field("power_voltage", "Power / Voltage", "power, voltage, wattage, or battery spec when supported", "功率 / 电压"),
+    _taxonomy_field("connectivity", "Connectivity", "connection method such as wired, Bluetooth, Wi-Fi, RF, or smart app control", "连接方式"),
+    _taxonomy_field("interface_port_type", "Interface / Port Type", "relevant port or interface such as USB-C, AC plug type, HDMI, SATA", "接口 / 端口类型"),
+    _taxonomy_field("capacity_storage", "Capacity / Storage", "capacity or storage spec such as 256GB, 2TB, 5000mAh", "容量 / 存储"),
+    _taxonomy_field("key_features", "Key Features", "main product features such as touch control, HD display, noise reduction, smart control", "关键特征"),
+    _taxonomy_field("material_finish", "Material / Finish", "main housing material or finish when supported", "材质 / 表面处理"),
+    _taxonomy_field("color", "Color", "specific color name when available", "主颜色"),
+    _taxonomy_field("use_case", "Use Case", "intended use such as home entertainment, office, charging, security, repair", "使用场景"),
 )
  
 OUTDOOR_TAXONOMY_FIELDS = (
-    _taxonomy_field("product_type", "Product Type", "concise outdoor gear category label"),
-    _taxonomy_field("activity_type", "Activity Type", "primary outdoor activity such as camping, hiking, fishing, climbing, travel"),
-    _taxonomy_field("season_weather", "Season / Weather", "season or weather suitability when supported"),
-    _taxonomy_field("material", "Material", "main material such as aluminum, ripstop nylon, stainless steel, EVA"),
-    _taxonomy_field("capacity_size", "Capacity / Size", "size, length, or capacity when stated"),
-    _taxonomy_field("protection_resistance", "Protection / Resistance", "resistance or protection such as waterproof, UV resistant, windproof"),
-    _taxonomy_field("key_features", "Key Features", "primary gear attributes such as foldable, lightweight, insulated, non-slip"),
-    _taxonomy_field("portability_packability", "Portability / Packability", "carry or storage trait such as collapsible, compact, ultralight, packable"),
-    _taxonomy_field("color", "Color", "specific color name when available"),
-    _taxonomy_field("use_scenario", "Use Scenario", "likely use setting such as campsite, trail, survival kit, beach, picnic"),
+    _taxonomy_field("product_type", "Product Type", "concise outdoor gear category label", "品类"),
+    _taxonomy_field("activity_type", "Activity Type", "primary outdoor activity such as camping, hiking, fishing, climbing, travel", "活动类型"),
+    _taxonomy_field("season_weather", "Season / Weather", "season or weather suitability when supported", "适用季节 / 天气"),
+    _taxonomy_field("material", "Material", "main material such as aluminum, ripstop nylon, stainless steel, EVA", "材质"),
+    _taxonomy_field("capacity_size", "Capacity / Size", "size, length, or capacity when stated", "容量 / 尺寸"),
+    _taxonomy_field("protection_resistance", "Protection / Resistance", "resistance or protection such as waterproof, UV resistant, windproof", "防护 / 耐受性"),
+    _taxonomy_field("key_features", "Key Features", "primary gear attributes such as foldable, lightweight, insulated, non-slip", "关键特征"),
+    _taxonomy_field("portability_packability", "Portability / Packability", "carry or storage trait such as collapsible, compact, ultralight, packable", "便携 / 收纳性"),
+    _taxonomy_field("color", "Color", "specific color name when available", "主颜色"),
+    _taxonomy_field("use_scenario", "Use Scenario", "likely use setting such as campsite, trail, survival kit, beach, picnic", "使用场景"),
 )
  
 HOME_APPLIANCES_TAXONOMY_FIELDS = (
-    _taxonomy_field("product_type", "Product Type", "concise home appliance category label"),
-    _taxonomy_field("appliance_category", "Appliance Category", "functional class such as kitchen appliance, cleaning appliance, personal care appliance"),
-    _taxonomy_field("power_voltage", "Power / Voltage", "wattage, voltage, plug type, or power supply when supported"),
-    _taxonomy_field("capacity_coverage", "Capacity / Coverage", "capacity or coverage metric such as 1.5L, 20L, 40sqm"),
-    _taxonomy_field("control_method", "Control Method", "operation method such as touch, knob, remote, app control"),
-    _taxonomy_field("installation_type", "Installation Type", "setup style such as countertop, handheld, portable, wall-mounted, built-in"),
-    _taxonomy_field("key_features", "Key Features", "main product features such as timer, steam, HEPA filter, self-cleaning"),
-    _taxonomy_field("material_finish", "Material / Finish", "main material or exterior finish when supported"),
-    _taxonomy_field("color", "Color", "specific color name when available"),
-    _taxonomy_field("use_scenario", "Use Scenario", "intended use such as cooking, cleaning, grooming, cooling, air treatment"),
+    _taxonomy_field("product_type", "Product Type", "concise home appliance category label", "品类"),
+    _taxonomy_field("appliance_category", "Appliance Category", "functional class such as kitchen appliance, cleaning appliance, personal care appliance", "家电类别"),
+    _taxonomy_field("power_voltage", "Power / Voltage", "wattage, voltage, plug type, or power supply when supported", "功率 / 电压"),
+    _taxonomy_field("capacity_coverage", "Capacity / Coverage", "capacity or coverage metric such as 1.5L, 20L, 40sqm", "容量 / 覆盖范围"),
+    _taxonomy_field("control_method", "Control Method", "operation method such as touch, knob, remote, app control", "控制方式"),
+    _taxonomy_field("installation_type", "Installation Type", "setup style such as countertop, handheld, portable, wall-mounted, built-in", "安装方式"),
+    _taxonomy_field("key_features", "Key Features", "main product features such as timer, steam, HEPA filter, self-cleaning", "关键特征"),
+    _taxonomy_field("material_finish", "Material / Finish", "main material or exterior finish when supported", "材质 / 表面处理"),
+    _taxonomy_field("color", "Color", "specific color name when available", "主颜色"),
+    _taxonomy_field("use_scenario", "Use Scenario", "intended use such as cooking, cleaning, grooming, cooling, air treatment", "使用场景"),
 )
  
 HOME_LIVING_TAXONOMY_FIELDS = (
-    _taxonomy_field("product_type", "Product Type", "concise home and living category label"),
-    _taxonomy_field("room_placement", "Room / Placement", "intended room or placement such as bedroom, kitchen, bathroom, desktop"),
-    _taxonomy_field("material", "Material", "main material such as wood, ceramic, cotton, glass, metal"),
-    _taxonomy_field("style", "Style", "home style such as modern, farmhouse, minimalist, boho, Nordic"),
-    _taxonomy_field("size_dimensions", "Size / Dimensions", "size or dimensions when stated"),
-    _taxonomy_field("color", "Color", "specific color name when available"),
-    _taxonomy_field("pattern_finish", "Pattern / Finish", "surface pattern or finish such as solid, marble, matte, ribbed"),
-    _taxonomy_field("key_features", "Key Features", "main product features such as stackable, washable, blackout, space-saving"),
-    _taxonomy_field("assembly_installation", "Assembly / Installation", "assembly or installation trait when supported"),
-    _taxonomy_field("use_scenario", "Use Scenario", "intended use such as storage, dining, decor, sleep, organization"),
+    _taxonomy_field("product_type", "Product Type", "concise home and living category label", "品类"),
+    _taxonomy_field("room_placement", "Room / Placement", "intended room or placement such as bedroom, kitchen, bathroom, desktop", "适用空间 / 摆放位置"),
+    _taxonomy_field("material", "Material", "main material such as wood, ceramic, cotton, glass, metal", "材质"),
+    _taxonomy_field("style", "Style", "home style such as modern, farmhouse, minimalist, boho, Nordic", "风格"),
+    _taxonomy_field("size_dimensions", "Size / Dimensions", "size or dimensions when stated", "尺寸 / 规格"),
+    _taxonomy_field("color", "Color", "specific color name when available", "主颜色"),
+    _taxonomy_field("pattern_finish", "Pattern / Finish", "surface pattern or finish such as solid, marble, matte, ribbed", "图案 / 表面处理"),
+    _taxonomy_field("key_features", "Key Features", "main product features such as stackable, washable, blackout, space-saving", "关键特征"),
+    _taxonomy_field("assembly_installation", "Assembly / Installation", "assembly or installation trait when supported", "组装 / 安装"),
+    _taxonomy_field("use_scenario", "Use Scenario", "intended use such as storage, dining, decor, sleep, organization", "使用场景"),
 )
  
 WIGS_TAXONOMY_FIELDS = (
-    _taxonomy_field("product_type", "Product Type", "concise wig or hairpiece category label"),
-    _taxonomy_field("hair_material", "Hair Material", "hair material such as human hair, synthetic fiber, heat-resistant fiber"),
-    _taxonomy_field("hair_texture", "Hair Texture", "texture or curl pattern such as straight, body wave, curly, kinky"),
-    _taxonomy_field("hair_length", "Hair Length", "hair length when stated"),
-    _taxonomy_field("hair_color", "Hair Color", "specific hair color or blend when available"),
-    _taxonomy_field("cap_construction", "Cap Construction", "cap type such as full lace, lace front, glueless, U part"),
-    _taxonomy_field("lace_area_part_type", "Lace Area / Part Type", "lace size or part style such as 13x4 lace, middle part, T part"),
-    _taxonomy_field("density_volume", "Density / Volume", "hair density or fullness when supported"),
-    _taxonomy_field("style_bang_type", "Style / Bang Type", "style cue such as bob, pixie, layered, with bangs"),
-    _taxonomy_field("occasion_end_use", "Occasion / End Use", "intended use such as daily wear, cosplay, protective style, party"),
+    _taxonomy_field("product_type", "Product Type", "concise wig or hairpiece category label", "品类"),
+    _taxonomy_field("hair_material", "Hair Material", "hair material such as human hair, synthetic fiber, heat-resistant fiber", "发丝材质"),
+    _taxonomy_field("hair_texture", "Hair Texture", "texture or curl pattern such as straight, body wave, curly, kinky", "发质纹理"),
+    _taxonomy_field("hair_length", "Hair Length", "hair length when stated", "发长"),
+    _taxonomy_field("hair_color", "Hair Color", "specific hair color or blend when available", "发色"),
+    _taxonomy_field("cap_construction", "Cap Construction", "cap type such as full lace, lace front, glueless, U part", "帽网结构"),
+    _taxonomy_field("lace_area_part_type", "Lace Area / Part Type", "lace size or part style such as 13x4 lace, middle part, T part", "蕾丝面积 / 分缝类型"),
+    _taxonomy_field("density_volume", "Density / Volume", "hair density or fullness when supported", "密度 / 发量"),
+    _taxonomy_field("style_bang_type", "Style / Bang Type", "style cue such as bob, pixie, layered, with bangs", "款式 / 刘海类型"),
+    _taxonomy_field("occasion_end_use", "Occasion / End Use", "intended use such as daily wear, cosplay, protective style, party", "适用场景"),
 )
  
 BEAUTY_TAXONOMY_FIELDS = (
-    _taxonomy_field("product_type", "Product Type", "concise beauty or cosmetics category label"),
-    _taxonomy_field("target_area", "Target Area", "target area such as face, lips, eyes, nails, hair, body"),
-    _taxonomy_field("skin_hair_type", "Skin Type / Hair Type", "suitable skin or hair type when supported"),
-    _taxonomy_field("finish_effect", "Finish / Effect", "cosmetic finish or effect such as matte, dewy, volumizing, brightening"),
-    _taxonomy_field("key_ingredients", "Key Ingredients", "notable ingredients when stated"),
-    _taxonomy_field("shade_color", "Shade / Color", "specific shade or color when available"),
-    _taxonomy_field("scent", "Scent", "fragrance or scent only when supported"),
-    _taxonomy_field("formulation", "Formulation", "product form such as cream, serum, powder, gel, stick"),
-    _taxonomy_field("functional_benefits", "Functional Benefits", "benefits such as hydration, anti-aging, long-wear, repair, sun protection"),
-    _taxonomy_field("use_scenario", "Use Scenario", "intended use such as daily routine, salon, travel, evening makeup"),
+    _taxonomy_field("product_type", "Product Type", "concise beauty or cosmetics category label", "品类"),
+    _taxonomy_field("target_area", "Target Area", "target area such as face, lips, eyes, nails, hair, body", "适用部位"),
+    _taxonomy_field("skin_hair_type", "Skin Type / Hair Type", "suitable skin or hair type when supported", "肤质 / 发质"),
+    _taxonomy_field("finish_effect", "Finish / Effect", "cosmetic finish or effect such as matte, dewy, volumizing, brightening", "妆效 / 效果"),
+    _taxonomy_field("key_ingredients", "Key Ingredients", "notable ingredients when stated", "关键成分"),
+    _taxonomy_field("shade_color", "Shade / Color", "specific shade or color when available", "色号 / 颜色"),
+    _taxonomy_field("scent", "Scent", "fragrance or scent only when supported", "香味"),
+    _taxonomy_field("formulation", "Formulation", "product form such as cream, serum, powder, gel, stick", "剂型 / 形态"),
+    _taxonomy_field("functional_benefits", "Functional Benefits", "benefits such as hydration, anti-aging, long-wear, repair, sun protection", "功能"),
+    _taxonomy_field("use_scenario", "Use Scenario", "intended use such as daily routine, salon, travel, evening makeup", "使用场景"),
 )
  
 ACCESSORIES_TAXONOMY_FIELDS = (
-    _taxonomy_field("product_type", "Product Type", "concise accessory category label such as necklace, watch, belt, hat, or sunglasses"),
-    _taxonomy_field("target_gender", "Target Gender", "intended gender only if clearly implied"),
-    _taxonomy_field("material", "Material", "main material such as alloy, leather, stainless steel, acetate, fabric"),
-    _taxonomy_field("color", "Color", "specific color name when available"),
-    _taxonomy_field("pattern_finish", "Pattern / Finish", "surface treatment or style finish such as polished, textured, braided, rhinestone"),
-    _taxonomy_field("closure_fastening", "Closure / Fastening", "fastening method when applicable"),
-    _taxonomy_field("size_fit", "Size / Fit", "size or fit information such as adjustable, one size, 42mm"),
-    _taxonomy_field("style", "Style", "style cue such as minimalist, vintage, statement, sporty"),
-    _taxonomy_field("occasion_end_use", "Occasion / End Use", "likely use such as daily wear, formal, party, travel, sun protection"),
-    _taxonomy_field("set_pack_size", "Set / Pack Size", "set count or pack size when stated"),
+    _taxonomy_field("product_type", "Product Type", "concise accessory category label such as necklace, watch, belt, hat, or sunglasses", "品类"),
+    _taxonomy_field("target_gender", "Target Gender", "intended gender only if clearly implied", "目标性别"),
+    _taxonomy_field("material", "Material", "main material such as alloy, leather, stainless steel, acetate, fabric", "材质"),
+    _taxonomy_field("color", "Color", "specific color name when available", "主颜色"),
+    _taxonomy_field("pattern_finish", "Pattern / Finish", "surface treatment or style finish such as polished, textured, braided, rhinestone", "图案 / 表面处理"),
+    _taxonomy_field("closure_fastening", "Closure / Fastening", "fastening method when applicable", "闭合 / 固定方式"),
+    _taxonomy_field("size_fit", "Size / Fit", "size or fit information such as adjustable, one size, 42mm", "尺寸 / 适配"),
+    _taxonomy_field("style", "Style", "style cue such as minimalist, vintage, statement, sporty", "风格"),
+    _taxonomy_field("occasion_end_use", "Occasion / End Use", "likely use such as daily wear, formal, party, travel, sun protection", "适用场景"),
+    _taxonomy_field("set_pack_size", "Set / Pack Size", "set count or pack size when stated", "套装 / 规格"),
 )
  
 TOYS_TAXONOMY_FIELDS = (
-    _taxonomy_field("product_type", "Product Type", "concise toy category label"),
-    _taxonomy_field("age_group", "Age Group", "intended age group when clearly implied"),
-    _taxonomy_field("character_theme", "Character / Theme", "licensed character, theme, or play theme when supported"),
-    _taxonomy_field("material", "Material", "main toy material such as plush, plastic, wood, silicone"),
-    _taxonomy_field("power_source", "Power Source", "battery, rechargeable, wind-up, or non-powered when supported"),
-    _taxonomy_field("interactive_features", "Interactive Features", "interactive functions such as sound, lights, remote control, motion"),
-    _taxonomy_field("educational_play_value", "Educational / Play Value", "play value such as STEM, pretend play, sensory, puzzle solving"),
-    _taxonomy_field("piece_count_size", "Piece Count / Size", "piece count or size when stated"),
-    _taxonomy_field("color", "Color", "specific color name when available"),
-    _taxonomy_field("use_scenario", "Use Scenario", "intended use such as indoor play, bath time, party favor, outdoor play"),
+    _taxonomy_field("product_type", "Product Type", "concise toy category label", "品类"),
+    _taxonomy_field("age_group", "Age Group", "intended age group when clearly implied", "年龄段"),
+    _taxonomy_field("character_theme", "Character / Theme", "licensed character, theme, or play theme when supported", "角色 / 主题"),
+    _taxonomy_field("material", "Material", "main toy material such as plush, plastic, wood, silicone", "材质"),
+    _taxonomy_field("power_source", "Power Source", "battery, rechargeable, wind-up, or non-powered when supported", "供电方式"),
+    _taxonomy_field("interactive_features", "Interactive Features", "interactive functions such as sound, lights, remote control, motion", "互动功能"),
+    _taxonomy_field("educational_play_value", "Educational / Play Value", "play value such as STEM, pretend play, sensory, puzzle solving", "教育 / 可玩性"),
+    _taxonomy_field("piece_count_size", "Piece Count / Size", "piece count or size when stated", "件数 / 尺寸"),
+    _taxonomy_field("color", "Color", "specific color name when available", "主颜色"),
+    _taxonomy_field("use_scenario", "Use Scenario", "intended use such as indoor play, bath time, party favor, outdoor play", "使用场景"),
 )
  
 SHOES_TAXONOMY_FIELDS = (
-    _taxonomy_field("product_type", "Product Type", "concise footwear category label"),
-    _taxonomy_field("target_gender", "Target Gender", "intended gender only if clearly implied"),
-    _taxonomy_field("age_group", "Age Group", "only if clearly implied"),
-    _taxonomy_field("closure_type", "Closure Type", "fastening method such as lace-up, slip-on, buckle, hook-and-loop"),
-    _taxonomy_field("toe_shape", "Toe Shape", "toe shape when applicable, e.g. round toe, pointed toe, open toe"),
-    _taxonomy_field("heel_sole_type", "Heel Height / Sole Type", "heel or sole profile such as flat, block heel, wedge, platform, thick sole"),
-    _taxonomy_field("upper_material", "Upper Material", "main upper material such as leather, knit, canvas, mesh"),
-    _taxonomy_field("lining_insole_material", "Lining / Insole Material", "lining or insole material when supported"),
-    _taxonomy_field("color", "Color", "specific color name when available"),
-    _taxonomy_field("occasion_end_use", "Occasion / End Use", "likely use such as running, casual, office, hiking, formal"),
+    _taxonomy_field("product_type", "Product Type", "concise footwear category label", "品类"),
+    _taxonomy_field("target_gender", "Target Gender", "intended gender only if clearly implied", "目标性别"),
+    _taxonomy_field("age_group", "Age Group", "only if clearly implied", "年龄段"),
+    _taxonomy_field("closure_type", "Closure Type", "fastening method such as lace-up, slip-on, buckle, hook-and-loop", "闭合方式"),
+    _taxonomy_field("toe_shape", "Toe Shape", "toe shape when applicable, e.g. round toe, pointed toe, open toe", "鞋头形状"),
+    _taxonomy_field("heel_sole_type", "Heel Height / Sole Type", "heel or sole profile such as flat, block heel, wedge, platform, thick sole", "跟高 / 鞋底类型"),
+    _taxonomy_field("upper_material", "Upper Material", "main upper material such as leather, knit, canvas, mesh", "鞋面材质"),
+    _taxonomy_field("lining_insole_material", "Lining / Insole Material", "lining or insole material when supported", "里料 / 鞋垫材质"),
+    _taxonomy_field("color", "Color", "specific color name when available", "主颜色"),
+    _taxonomy_field("occasion_end_use", "Occasion / End Use", "likely use such as running, casual, office, hiking, formal", "适用场景"),
 )
  
 SPORTS_TAXONOMY_FIELDS = (
-    _taxonomy_field("product_type", "Product Type", "concise sports product category label"),
-    _taxonomy_field("sport_activity", "Sport / Activity", "primary sport or activity such as fitness, yoga, basketball, cycling, swimming"),
-    _taxonomy_field("skill_level", "Skill Level", "target user level when supported, e.g. beginner, training, professional"),
-    _taxonomy_field("material", "Material", "main material such as EVA, carbon fiber, neoprene, latex"),
-    _taxonomy_field("size_capacity", "Size / Capacity", "size, weight, resistance level, or capacity when stated"),
-    _taxonomy_field("protection_support", "Protection / Support", "support or protection function such as ankle support, shock absorption, impact protection"),
-    _taxonomy_field("key_features", "Key Features", "main features such as anti-slip, adjustable, foldable, quick-dry"),
-    _taxonomy_field("power_source", "Power Source", "battery, electric, or non-powered when applicable"),
-    _taxonomy_field("color", "Color", "specific color name when available"),
-    _taxonomy_field("use_scenario", "Use Scenario", "intended use such as gym, home workout, field training, competition"),
+    _taxonomy_field("product_type", "Product Type", "concise sports product category label", "品类"),
+    _taxonomy_field("sport_activity", "Sport / Activity", "primary sport or activity such as fitness, yoga, basketball, cycling, swimming", "运动 / 活动"),
+    _taxonomy_field("skill_level", "Skill Level", "target user level when supported, e.g. beginner, training, professional", "适用水平"),
+    _taxonomy_field("material", "Material", "main material such as EVA, carbon fiber, neoprene, latex", "材质"),
+    _taxonomy_field("size_capacity", "Size / Capacity", "size, weight, resistance level, or capacity when stated", "尺寸 / 容量"),
+    _taxonomy_field("protection_support", "Protection / Support", "support or protection function such as ankle support, shock absorption, impact protection", "防护 / 支撑"),
+    _taxonomy_field("key_features", "Key Features", "main features such as anti-slip, adjustable, foldable, quick-dry", "关键特征"),
+    _taxonomy_field("power_source", "Power Source", "battery, electric, or non-powered when applicable", "供电方式"),
+    _taxonomy_field("color", "Color", "specific color name when available", "主颜色"),
+    _taxonomy_field("use_scenario", "Use Scenario", "intended use such as gym, home workout, field training, competition", "使用场景"),
 )
  
 OTHERS_TAXONOMY_FIELDS = (
-    _taxonomy_field("product_type", "Product Type", "concise product category label, not a full marketing title"),
-    _taxonomy_field("product_category", "Product Category", "broader retail grouping when the specific product type is narrow"),
-    _taxonomy_field("target_user", "Target User", "intended user, audience, or recipient when clearly implied"),
-    _taxonomy_field("material_ingredients", "Material / Ingredients", "main material or ingredients when supported"),
-    _taxonomy_field("key_features", "Key Features", "primary product attributes or standout features"),
-    _taxonomy_field("functional_benefits", "Functional Benefits", "practical benefits or performance advantages when supported"),
-    _taxonomy_field("size_capacity", "Size / Capacity", "size, count, weight, or capacity when stated"),
-    _taxonomy_field("color", "Color", "specific color name when available"),
-    _taxonomy_field("style_theme", "Style / Theme", "overall style, design theme, or visual direction when supported"),
-    _taxonomy_field("use_scenario", "Use Scenario", "likely use occasion or application setting when supported"),
+    _taxonomy_field("product_type", "Product Type", "concise product category label, not a full marketing title", "品类"),
+    _taxonomy_field("product_category", "Product Category", "broader retail grouping when the specific product type is narrow", "商品类别"),
+    _taxonomy_field("target_user", "Target User", "intended user, audience, or recipient when clearly implied", "适用人群"),
+    _taxonomy_field("material_ingredients", "Material / Ingredients", "main material or ingredients when supported", "材质 / 成分"),
+    _taxonomy_field("key_features", "Key Features", "primary product attributes or standout features", "关键特征"),
+    _taxonomy_field("functional_benefits", "Functional Benefits", "practical benefits or performance advantages when supported", "功能"),
+    _taxonomy_field("size_capacity", "Size / Capacity", "size, count, weight, or capacity when stated", "尺寸 / 容量"),
+    _taxonomy_field("color", "Color", "specific color name when available", "主颜色"),
+    _taxonomy_field("style_theme", "Style / Theme", "overall style, design theme, or visual direction when supported", "风格 / 主题"),
+    _taxonomy_field("use_scenario", "Use Scenario", "likely use occasion or application setting when supported", "使用场景"),
 )
  
 CATEGORY_TAXONOMY_PROFILES: Dict[str, Dict[str, Any]] = {
     "apparel": _make_taxonomy_profile(
         "apparel",
         APPAREL_TAXONOMY_FIELDS,
-        aliases=("服装", "服饰", "apparel", "clothing", "fashion"),
-        output_languages=("zh", "en"),
-        zh_headers=tuple(field["zh_label"] for field in APPAREL_TAXONOMY_FIELDS),
     ),
     "3c": _make_taxonomy_profile(
         "3C",
         THREE_C_TAXONOMY_FIELDS,
-        aliases=("3c", "数码", "phone accessories", "computer peripherals", "smart wearables", "audio", "gaming gear"),
     ),
     "bags": _make_taxonomy_profile(
         "bags",
         BAGS_TAXONOMY_FIELDS,
-        aliases=("bags", "bag", "包", "箱包", "handbag", "backpack", "wallet", "luggage"),
     ),
     "pet_supplies": _make_taxonomy_profile(
         "pet supplies",
         PET_SUPPLIES_TAXONOMY_FIELDS,
-        aliases=("pet", "宠物", "pet supplies", "pet food", "pet toys", "pet care"),
     ),
     "electronics": _make_taxonomy_profile(
         "electronics",
         ELECTRONICS_TAXONOMY_FIELDS,
-        aliases=("electronics", "电子", "electronic components", "consumer electronics", "digital devices"),
     ),
     "outdoor": _make_taxonomy_profile(
         "outdoor products",
         OUTDOOR_TAXONOMY_FIELDS,
-        aliases=("outdoor", "户外", "camping", "hiking", "fishing", "travel accessories"),
     ),
     "home_appliances": _make_taxonomy_profile(
         "home appliances",
         HOME_APPLIANCES_TAXONOMY_FIELDS,
-        aliases=("home appliances", "家电", "电器", "kitchen appliances", "cleaning appliances", "smart home devices"),
     ),
     "home_living": _make_taxonomy_profile(
         "home and living",
         HOME_LIVING_TAXONOMY_FIELDS,
-        aliases=("home", "living", "家居", "家具", "家纺", "home decor", "kitchenware"),
     ),
     "wigs": _make_taxonomy_profile(
         "wigs",
         WIGS_TAXONOMY_FIELDS,
-        aliases=("wig", "wigs", "假发", "hairpiece"),
     ),
     "beauty": _make_taxonomy_profile(
         "beauty and cosmetics",
         BEAUTY_TAXONOMY_FIELDS,
-        aliases=("beauty", "cosmetics", "美容", "美妆", "makeup", "skincare", "nail care"),
     ),
     "accessories": _make_taxonomy_profile(
         "accessories",
         ACCESSORIES_TAXONOMY_FIELDS,
-        aliases=("accessories", "配饰", "jewelry", "watches", "belts", "scarves", "hats", "sunglasses"),
     ),
     "toys": _make_taxonomy_profile(
         "toys",
         TOYS_TAXONOMY_FIELDS,
-        aliases=("toys", "toy", "玩具", "plush", "action figures", "puzzles", "educational toys"),
     ),
     "shoes": _make_taxonomy_profile(
         "shoes",
         SHOES_TAXONOMY_FIELDS,
-        aliases=("shoes", "shoe", "鞋", "sneakers", "boots", "sandals", "heels"),
     ),
     "sports": _make_taxonomy_profile(
         "sports products",
         SPORTS_TAXONOMY_FIELDS,
-        aliases=("sports", "sport", "运动", "fitness", "cycling", "team sports", "water sports"),
     ),
     "others": _make_taxonomy_profile(
         "general merchandise",
         OTHERS_TAXONOMY_FIELDS,
-        aliases=("others", "other", "其他", "general merchandise"),
     ),
 }
  
-CATEGORY_TAXONOMY_PROFILE_NAMES = tuple(CATEGORY_TAXONOMY_PROFILES.keys())
 TAXONOMY_SHARED_ANALYSIS_INSTRUCTION = CATEGORY_TAXONOMY_PROFILES["apparel"]["shared_instruction"]
 TAXONOMY_MARKDOWN_TABLE_HEADERS_EN = CATEGORY_TAXONOMY_PROFILES["apparel"]["markdown_table_headers"]["en"]
 TAXONOMY_LANGUAGE_MARKDOWN_TABLE_HEADERS: Dict[str, Dict[str, Any]] = CATEGORY_TAXONOMY_PROFILES["apparel"]["markdown_table_headers"]
@@ -0,0 +1,173 @@
+# 内容富化模块说明
+
+本文说明商品内容富化模块的职责、入口、输出结构，以及当前 taxonomy profile 的设计约束。
+
+## 1. 模块目标
+
+内容富化模块负责基于商品文本调用 LLM，生成以下索引字段：
+
+- `qanchors`
+- `enriched_tags`
+- `enriched_attributes`
+- `enriched_taxonomy_attributes`
+
+模块追求的设计原则：
+
+- 单一职责：只负责内容理解与结构化输出，不负责 CSV 读写
+- 输出对齐 ES mapping：返回结构可直接写入 `search_products`
+- 配置化扩展：taxonomy profile 通过数据配置扩展，而不是散落条件分支
+- 代码精简：只面向正常使用方式，避免为了不合理调用堆叠补丁逻辑
+
+## 2. 主要文件
+
+- [product_enrich.py](/data/saas-search/indexer/product_enrich.py)
+  运行时主逻辑，负责批处理、缓存、prompt 组装、LLM 调用、markdown 解析、输出整理
+- [product_enrich_prompts.py](/data/saas-search/indexer/product_enrich_prompts.py)
+  prompt 模板与 taxonomy profile 配置
+- [document_transformer.py](/data/saas-search/indexer/document_transformer.py)
+  在内部索引构建链路中调用内容富化模块，把结果回填到 ES doc
+- [taxonomy.md](/data/saas-search/indexer/taxonomy.md)
+  taxonomy 设计说明与字段清单
+
+## 3. 对外入口
+
+### 3.1 Python 入口
+
+核心入口：
+
+```python
+build_index_content_fields(
+    items,
+    tenant_id=None,
+    enrichment_scopes=None,
+    category_taxonomy_profile=None,
+)
+```
+
+输入最小要求：
+
+- `id` 或 `spu_id`
+- `title`
+
+可选输入：
+
+- `brief`
+- `description`
+- `image_url`
+
+关键参数：
+
+- `enrichment_scopes`
+  可选 `generic`、`category_taxonomy`
+- `category_taxonomy_profile`
+  taxonomy profile；默认 `apparel`
+
+### 3.2 HTTP 入口
+
+API 路由：
+
+- `POST /indexer/enrich-content`
+
+对应文档：
+
+- [搜索API对接指南-05-索引接口（Indexer）](/data/saas-search/docs/搜索API对接指南-05-索引接口（Indexer）.md)
+- [搜索API对接指南-07-微服务接口（Embedding-Reranker-Translation）](/data/saas-search/docs/搜索API对接指南-07-微服务接口（Embedding-Reranker-Translation）.md)
+
+## 4. 输出结构
+
+返回结果与 ES mapping 对齐：
+
+```json
+{
+  "id": "223167",
+  "qanchors": {
+    "zh": ["短袖T恤", "纯棉"],
+    "en": ["t-shirt", "cotton"]
+  },
+  "enriched_tags": {
+    "zh": ["短袖", "纯棉"],
+    "en": ["short sleeve", "cotton"]
+  },
+  "enriched_attributes": [
+    {
+      "name": "enriched_tags",
+      "value": {
+        "zh": ["短袖", "纯棉"],
+        "en": ["short sleeve", "cotton"]
+      }
+    }
+  ],
+  "enriched_taxonomy_attributes": [
+    {
+      "name": "Product Type",
+      "value": {
+        "zh": ["T恤"],
+        "en": ["t-shirt"]
+      }
+    }
+  ]
+}
+```
+
+说明：
+
+- `generic` 部分固定输出核心索引语言 `zh`、`en`
+- `taxonomy` 部分同样统一输出 `zh`、`en`
+
+## 5. Taxonomy profile
+
+当前支持：
+
+- `apparel`
+- `3c`
+- `bags`
+- `pet_supplies`
+- `electronics`
+- `outdoor`
+- `home_appliances`
+- `home_living`
+- `wigs`
+- `beauty`
+- `accessories`
+- `toys`
+- `shoes`
+- `sports`
+- `others`
+
+统一约束：
+
+- 所有 profile 都返回 `zh` + `en`
+- profile 只决定 taxonomy 字段集合，不再决定输出语言
+- 所有 profile 都配置中英文字段名，prompt/header 结构保持一致
+
+## 6. 内部索引链路的当前约束
+
+在内部 ES 文档构建链路里，`document_transformer` 当前调用内容富化时，taxonomy profile 暂时固定传：
+
+```python
+category_taxonomy_profile="apparel"
+```
+
+这是一种显式、可控、代码更干净的临时策略。
+
+当前代码里已保留 TODO：
+
+- 后续从数据库读取租户真实所属行业
+- 再用该行业替换固定的 `apparel`
+
+当前不做“根据商品类目文本自动猜 profile”的隐式逻辑，避免增加冗余代码与不必要的不确定性。
+
+## 7. 缓存与批处理
+
+缓存键由以下信息共同决定：
+
+- `analysis_kind`
+- `target_lang`
+- prompt/schema 版本指纹
+- prompt 实际输入文本
+
+批处理规则：
+
+- 单次 LLM 调用最多 20 条
+- 上层允许传更大批次，模块内部自动拆批
+- uncached batch 可并发执行
@@ -175,8 +175,7 @@ Input product list:
 ## 2. Other taxonomy profiles
  
 说明：
-- `apparel` 继续返回 `zh` + `en`。
-- 其他 profile 只返回 `en`，并且只定义英文列名。
+- 所有 profile 统一返回 `zh` + `en`。
 - 代码中的 profile slug 与下面保持一致。
  
 | Profile | Core columns (`en`) |
@@ -10,8 +10,14 @@ from indexer.document_transformer import SPUDocumentTransformer
 def test_fill_llm_attributes_batch_uses_product_enrich_helper(monkeypatch):
     seen_calls: List[Dict[str, Any]] = []
  
-    def _fake_build_index_content_fields(items, tenant_id=None):
-        seen_calls.append({"n": len(items), "tenant_id": tenant_id})
+    def _fake_build_index_content_fields(items, tenant_id=None, category_taxonomy_profile=None):
+        seen_calls.append(
+            {
+                "n": len(items),
+                "tenant_id": tenant_id,
+                "category_taxonomy_profile": category_taxonomy_profile,
+            }
+        )
         return [
             {
                 "id": item["id"],
@@ -53,7 +59,7 @@ def test_fill_llm_attributes_batch_uses_product_enrich_helper(monkeypatch):
  
     transformer.fill_llm_attributes_batch(docs, rows)
  
-    assert seen_calls == [{"n": 45, "tenant_id": "162"}]
+    assert seen_calls == [{"n": 45, "tenant_id": "162", "category_taxonomy_profile": "apparel"}]
  
     assert docs[0]["qanchors"]["zh"] == ["zh-anchor-0"]
     assert docs[0]["qanchors"]["en"] == ["en-anchor-0"]
@@ -559,15 +559,7 @@ def test_build_index_content_fields_maps_internal_tags_to_enriched_tags_output()
             ],
         }
     ]
-
-
-def test_detect_category_taxonomy_profile_matches_category_hints():
-    assert product_enrich.detect_category_taxonomy_profile({"category1_name": "玩具"}) == "toys"
-    assert product_enrich.detect_category_taxonomy_profile({"category": "Beauty & Cosmetics"}) == "beauty"
-    assert product_enrich.detect_category_taxonomy_profile({"category_path": "Home Appliances / Kitchen"}) == "home_appliances"
-
-
-def test_build_index_content_fields_routes_taxonomy_by_item_profile_and_non_apparel_returns_en_only():
+def test_build_index_content_fields_non_apparel_taxonomy_returns_en_only():
     seen_calls = []
  
     def fake_analyze_products(
@@ -580,40 +572,6 @@ def test_build_index_content_fields_routes_taxonomy_by_item_profile_and_non_appa
     ):
         seen_calls.append((analysis_kind, target_lang, category_taxonomy_profile, tuple(p["id"] for p in products)))
         if analysis_kind == "taxonomy":
-            if category_taxonomy_profile == "apparel":
-                return [
-                    {
-                        "id": products[0]["id"],
-                        "lang": target_lang,
-                        "title_input": products[0]["title"],
-                        "product_type": f"{target_lang}-dress",
-                        "target_gender": f"{target_lang}-women",
-                        "age_group": "",
-                        "season": "",
-                        "fit": "",
-                        "silhouette": "",
-                        "neckline": "",
-                        "sleeve_length_type": "",
-                        "sleeve_style": "",
-                        "strap_type": "",
-                        "rise_waistline": "",
-                        "leg_shape": "",
-                        "skirt_shape": "",
-                        "length_type": "",
-                        "closure_type": "",
-                        "design_details": "",
-                        "fabric": "",
-                        "material_composition": "",
-                        "fabric_properties": "",
-                        "clothing_features": "",
-                        "functional_benefits": "",
-                        "color": "",
-                        "color_family": "",
-                        "print_pattern": "",
-                        "occasion_end_use": "",
-                        "style_aesthetic": "",
-                    }
-                ]
             assert category_taxonomy_profile == "toys"
             assert target_lang == "en"
             return [
@@ -655,21 +613,30 @@ def test_build_index_content_fields_routes_taxonomy_by_item_profile_and_non_appa
  
     with mock.patch.object(product_enrich, "analyze_products", side_effect=fake_analyze_products):
         result = product_enrich.build_index_content_fields(
-            items=[
-                {"spu_id": "1", "title": "dress", "category_taxonomy_profile": "apparel"},
-                {"spu_id": "2", "title": "toy", "category_taxonomy_profile": "toys"},
-            ],
+            items=[{"spu_id": "2", "title": "toy"}],
             tenant_id="170",
-            category_taxonomy_profile="apparel",
+            category_taxonomy_profile="toys",
         )
  
-    assert result[0]["enriched_taxonomy_attributes"] == [
-        {"name": "Product Type", "value": {"zh": ["zh-dress"], "en": ["en-dress"]}},
-        {"name": "Target Gender", "value": {"zh": ["zh-women"], "en": ["en-women"]}},
-    ]
-    assert result[1]["enriched_taxonomy_attributes"] == [
-        {"name": "Product Type", "value": {"en": ["doll set"]}},
-        {"name": "Age Group", "value": {"en": ["kids"]}},
+    assert result == [
+        {
+            "id": "2",
+            "qanchors": {"zh": ["zh-anchor"], "en": ["en-anchor"]},
+            "enriched_tags": {"zh": ["zh-tag"], "en": ["en-tag"]},
+            "enriched_attributes": [
+                {
+                    "name": "enriched_tags",
+                    "value": {
+                        "zh": ["zh-tag"],
+                        "en": ["en-tag"],
+                    },
+                }
+            ],
+            "enriched_taxonomy_attributes": [
+                {"name": "Product Type", "value": {"en": ["doll set"]}},
+                {"name": "Age Group", "value": {"en": ["kids"]}},
+            ],
+        }
     ]
     assert ("taxonomy", "zh", "toys", ("2",)) not in seen_calls
     assert ("taxonomy", "en", "toys", ("2",)) in seen_calls