fix(HEL-356): complete Shenwan industry signal

Co-authored-by: multica-agent <github@multica.ai>

backend/data/providers/tushare_industries.py

@@ -169,6 +169,16 @@ class ShenwanIndustryMixin:
                     )
                 else:
                     outer_error = rt_error or outer_error
+                if not outer_precise:
+                    # The exact SW L2 member set and every member's final daily bar
+                    # are already available.  Use their equal-weight move as an
+                    # explicitly labelled provisional outer value until Tushare's
+                    # official sw_daily row is published.
+                    daily = {"change": equal_change}
+                    actual_trade_date = trade_date
+                    outer_precise = True
+                    outer_source = "sw_member_equal_daily"
+                    outer_error = ""
             else:
                 try:
                     snapshot = self._sw_realtime_sector_snapshot(
@@ -520,6 +530,12 @@ class ShenwanIndustryMixin:
             for item in members
         }
         equal_change = sum(item["change"] for item in valid) / len(valid) if valid else 0
+        if not outer_precise and inner_precise:
+            official_change = equal_change
+            outer_precise = True
+            outer_source = "sw_member_equal_realtime"
+            outer_error = ""
+            quote_date = trade_date
         amount_billion = sum(_number(item.get("amount")) for item in valid) / 100000000
         market_rows: list[dict[str, Any]] = []
         try:
@@ -642,6 +658,11 @@ class ShenwanIndustryMixin:
                     return {}, "", f"申万行业 {sector_code} 盘后正式数据待入库"
                 return {}, "", f"数据中枢申万实时暂不可用：{message[:180]}"
             if row:
+                actual_name = str(row.get("name") or "").strip()
+                if sector_name and actual_name != str(sector_name).strip():
+                    return {}, "", (
+                        f"数据中枢返回的行业名称不匹配：期望 {sector_name}，实际 {actual_name or '--'}"
+                    )
                 return dict(row), str(row.get("source") or "datahub"), ""
         if finalized:
             return {}, "", f"申万行业 {sector_code} 当日盘后正式数据尚未入库"

backend/features/heaven/engine.py

@@ -802,7 +802,11 @@ def _market_line_scores(
         {},
     )
     sector_quantitative_mode = str(sector.get("_quantitative_mode") or "")
-    actual_sector_source = str(sector.get("source") or "").startswith("tushare_")
+    sector_source = str(sector.get("source") or "")
+    actual_sector_source = (
+        sector_source.startswith("tushare_")
+        or "sw_member_equal_" in sector_source
+    )
     if (sector.get("realtime") and actual_sector_source) or sector_quantitative_mode == "intraday":
         sector_change = float(sector.get("change") or 0)
         sector_change_score = _clamp(sector_change / 5, -1, 1)
@@ -831,8 +835,13 @@ def _market_line_scores(
             f"成分上涨 {int(sector_up)} 家、下跌 {int(sector_down)} 家",
             f"平均换手 {float(sector.get('turnover_rate') or 0):.2f}%，相对市场 {float(sector.get('relative_turnover') or 0):.2f} 倍",
         ]
+        sector_change_label = (
+            "申万二级行业成分等权涨跌"
+            if "sw_member_equal_" in sector_source
+            else "申万二级行业官方涨跌"
+        )
         sector_outer_evidence = [
-            f"申万二级行业官方涨跌 {sector_change:+.2f}%",
+            f"{sector_change_label} {sector_change:+.2f}%",
             f"领涨 {sector.get('leader') or '--'} {float(sector.get('leading_pct') or 0):+.2f}%",
         ]
     elif actual_sector_source or sector_quantitative_mode == "historical":

backend/features/heaven/manual.py

@@ -28,7 +28,7 @@ class HeavenManualMixin:
             "sector_coverage": {"line": 3, "label": "成分行情覆盖率", "unit": "%", "min": 0, "max": 100},
             "sector_relative_turnover": {"line": 3, "label": "行业相对市场换手", "unit": "倍", "min": 0, "max": 20},
             "sector_member_equal_change": {"line": 3, "label": "成分等权涨跌幅", "unit": "%", "min": -100, "max": 100},
-            "sector_change": {"line": 4, "label": "申万官方涨跌幅", "unit": "%", "min": -100, "max": 100},
+            "sector_change": {"line": 4, "label": "申万行业涨跌幅", "unit": "%", "min": -100, "max": 100},
             "sector_leading_pct": {"line": [3, 4], "label": "行业领涨股涨跌幅", "unit": "%", "min": -100, "max": 100},
             "market_sentiment_score": {"line": 5, "label": "市场情绪温度", "unit": "分", "min": 0, "max": 100},
             "market_seal_rate": {"line": 5, "label": "封板率", "unit": "%", "min": 0, "max": 100},