refactor: streamline frontend language and shared UI utilities

server.py

@@ -459,7 +459,7 @@ class DashboardService:
         profile = self._resolved_llm_profile()
         source = str(profile.get("source") or "none")
         if source == "none" or not self._profile_configured(profile.get("primary") or {}):
-            raise ValueError("请配置个人 LLM，或使用已开通会员的平台模型。")
+            raise ValueError("智能功能尚未配置，请联系管理员。")
         if source == "platform":
             limit = max(1, int(self._system_credentials.get("member_daily_limit") or 50))
             if self._platform_usage_today() >= limit:
@@ -1126,18 +1126,14 @@ class DashboardService:
                     self.llm_fallback_model,
                 )
                 compiled["compiler"] = "llm_fallback"
-                notice = f"主模型调用失败，已自动切换辅助模型。{primary_error}" if primary_error else "已使用辅助模型编译。"
+                notice = "智能策略生成服务已自动切换。"
             except LLMCompilerError as exc:
                 fallback_error = str(exc)
                 compiled = compile_local_strategy(prompt, regime)
-                notice = f"主模型和辅助模型均不可用，已使用本地模板。主模型：{primary_error or '未配置'}；辅助模型：{fallback_error}"
+                notice = "智能策略生成暂不可用，已使用本地模板。"
         if compiled is None:
             compiled = compile_local_strategy(prompt, regime)
-            notice = (
-                f"主模型调用失败且未配置辅助模型，已使用本地模板：{primary_error}"
-                if primary_error
-                else "尚未配置 LLM，当前使用本地受控模板编译。"
-            )
+            notice = "智能策略生成暂不可用，已使用本地模板。"
         compiled["formula"] = self.screener.validate_formula(compiled["formula"])
         compiled["notice"] = notice
         if source in {"personal", "platform"}:
@@ -1234,13 +1230,10 @@ class DashboardService:
                 self.record_llm_usage(
                     "mentor", source, self.llm_fallback_model, "failed"
                 )
-                raise ValueError(
-                    f"主模型和辅助模型均不可用。主模型：{primary_error or '未配置'}；"
-                    f"辅助模型：{fallback_error}"
-                ) from exc
+                raise ValueError("智能解读服务暂不可用，请稍后重试。") from exc
         if result is None:
             self.record_llm_usage("mentor", source, self.llm_primary_model, "failed")
-            raise ValueError(f"主模型不可用且未配置辅助模型：{primary_error}")
+            raise ValueError("智能解读服务暂不可用，请稍后重试。")
         self.record_llm_usage(
             "mentor",
             source,
@@ -1262,7 +1255,7 @@ class DashboardService:
             "compiler": compiler,
             "requested_trade_date": trade_date,
             "data_trade_date": context["data_trade_date"],
-            "notice": "主模型调用失败，已自动切换辅助模型。" if compiler == "fallback" else "",
+            "notice": "智能解读已自动切换可用服务。" if compiler == "fallback" else "",
         }
 
     def mentor_messages(self, mentor_id: str, trade_date: str) -> list[dict[str, Any]]:
@@ -2196,7 +2189,7 @@ class DashboardService:
             **result,
             "mode": mode,
             "compiler": compiler,
-            "notice": "主模型调用失败，已自动切换辅助模型。" if compiler == "fallback" else "",
+            "notice": "智能解读已自动切换可用服务。" if compiler == "fallback" else "",
         }
 
     def _call_heaven_agent(self, mode: str, context: dict[str, Any]) -> tuple[dict[str, Any], str]:
@@ -2236,12 +2229,9 @@ class DashboardService:
                 self.record_llm_usage(
                     f"heaven_{mode}", source, self.llm_fallback_model, "failed"
                 )
-                raise ValueError(
-                    f"主模型和辅助模型均不可用。主模型：{primary_error or '未配置'}；"
-                    f"辅助模型：{exc}"
-                ) from exc
+                raise ValueError("智能解读服务暂不可用，请稍后重试。") from exc
         self.record_llm_usage(f"heaven_{mode}", source, self.llm_primary_model, "failed")
-        raise ValueError(f"主模型不可用且未配置辅助模型：{primary_error}")
+        raise ValueError("智能解读服务暂不可用，请稍后重试。")
 
     def _heaven_index_context(
         self,
@@ -2612,7 +2602,7 @@ class DashboardService:
                         "schema_version": 3,
                         "cached": False,
                         "updated_at": datetime.now().astimezone().isoformat(timespec="seconds"),
-                        "notice": f"游资接口不可用：{exc}",
+                        "notice": "龙虎榜数据暂不可用，请稍后重试。",
                     },
                     "summary": {
                         "trader_count": 0,
@@ -2640,7 +2630,7 @@ class DashboardService:
             "status": "unavailable",
             "schema_version": 3,
             "cached": False,
-            "notice": "公共行情尚未配置，暂无龙虎榜数据。",
+            "notice": "龙虎榜数据暂不可用，请联系管理员检查行情配置。",
             },
             "summary": {
                 "trader_count": 0,
@@ -2997,7 +2987,7 @@ class DashboardService:
         compact_date = normalize_date(resolved_date)
         intraday_points: list[dict[str, Any]] = []
         intraday_status = "unavailable"
-        intraday_notice = "未配置 Tushare Token，分时数据不可用。"
+        intraday_notice = "分时行情暂不可用。"
 
         if self.configured:
             cache_key = f"{code}:{compact_date}"
@@ -3023,7 +3013,7 @@ class DashboardService:
                         intraday_notice = "该交易日暂无分时数据。"
                 except TushareError as exc:
                     intraday_status = "unavailable"
-                    intraday_notice = f"Tushare 分时接口不可用：{exc}"
+                    intraday_notice = "分时行情暂不可用，请稍后重试。"
 
         prices = list(detail.get("prices") or [])[-60:]
         stock = dict(detail.get("stock") or {"code": code})