add .gitattributes: python文件统一LF换行

agent/advisor_agent/intent/recognizer.py

@@ -40,6 +40,8 @@ _REBALANCE_TERMS = ("调仓", "再平衡", "组合调整", "配置偏离", "偏
 _FUND_ANALYSIS_TERMS = ("基金分析", "分析基金", "基金表现", "净值走势", "最大回撤", "夏普比率", "年化波动")
 _DIALOGUE_TERMS = ("话术", "沟通", "怎么跟客户说", "如何向客户解释", "安抚客户", "投诉处理")
 _RECOMMEND_TERMS = ("推荐", "组合建议", "配置建议", "买什么", "适合配置", "筛选基金", "投资方案")
+_CUSTOMER_IDENTITY_TERMS = ("是谁", "姓名", "实名", "基本信息", "联系方式", "手机号")
+_SCOPE_ERROR_MESSAGE = "投顾范围查询仅支持客户数据查询"
 
 
 def _contains_any(text: str, terms: tuple[str, ...]) -> bool:
@@ -57,6 +59,8 @@ def recognize_advisor_intent(query: str | None, explicit_intent: str | None = No
     text = re.sub(r"\s+", "", query or "")
     if not text:
         return None
+    if text == _SCOPE_ERROR_MESSAGE:
+        return None
 
     # 先处理最明确的任务词，避免“查询基金收益”被误判成普通数据查询。
     if _contains_any(text, _REBALANCE_TERMS):
@@ -68,6 +72,13 @@ def recognize_advisor_intent(query: str | None, explicit_intent: str | None = No
 
     has_action = any(term in text for term in _QUERY_ACTIONS)
     has_data = any(term in text for term in _DATA_TERMS)
+    has_customer_identity = (
+        "客户" in text
+        and _contains_any(text, _CUSTOMER_IDENTITY_TERMS)
+        and not _contains_any(text, _RECOMMEND_TERMS)
+    )
+    if has_customer_identity:
+        return AGENT_INTENT_DATA_QUERY
     if has_data and (has_action or "客户" in text or "近一年" in text or "本月" in text):
         return AGENT_INTENT_DATA_QUERY
     if _contains_any(text, _RECOMMEND_TERMS):