增加大模型

backend/app/stats.py

@@ -1,4 +1,4 @@
-"""三日数据统计：连续三日 Top30 且 |涨跌|>=5%。"""
+"""三日数据统计：连续三日成交额 Top30 交集（不限制涨跌幅）。"""
 
 from typing import Any
 
@@ -15,7 +15,6 @@ def compute_three_day_stats() -> dict[str, Any]:
     yesterday_snap = get_latest_snapshot("yesterday")
     daybefore_snap = get_latest_snapshot("daybefore")
 
-    threshold = settings.change_threshold
     top_n = settings.top_n
 
     missing = []
@@ -31,7 +30,7 @@ def compute_three_day_stats() -> dict[str, Any]:
             "ok": False,
             "missing_periods": missing,
             "message": f"缺少快照：{', '.join(missing)}，请等待刷新或手动触发",
-            "criteria": _criteria_text(threshold, top_n),
+            "criteria": _criteria_text(top_n),
             "count": 0,
             "items": [],
             "periods": _period_meta(today_snap, yesterday_snap, daybefore_snap),
@@ -46,12 +45,6 @@ def compute_three_day_stats() -> dict[str, Any]:
 
     for sym in sorted(symbols):
         t, y, b = today_map[sym], yesterday_map[sym], daybefore_map[sym]
-        if not (
-            abs(t.get("price_change_pct", 0)) >= threshold
-            and abs(y.get("price_change_pct", 0)) >= threshold
-            and abs(b.get("price_change_pct", 0)) >= threshold
-        ):
-            continue
         qualified.append(
             {
                 "symbol": sym,
@@ -79,9 +72,10 @@ def compute_three_day_stats() -> dict[str, Any]:
 
     return {
         "ok": True,
-        "criteria": _criteria_text(threshold, top_n),
+        "criteria": _criteria_text(top_n),
         "count": len(qualified),
         "items": qualified,
+        "symbols": [q["symbol"] for q in qualified],
         "periods": _period_meta(today_snap, yesterday_snap, daybefore_snap),
         "summary": {
             "today_top30": len(today_map),
@@ -92,11 +86,8 @@ def compute_three_day_stats() -> dict[str, Any]:
     }
 
 
-def _criteria_text(threshold: float, top_n: int) -> str:
-    return (
-        f"连续三日成交额 Top{top_n} 且每日 |涨跌幅| ≥ {threshold:g}%"
-        f"（今日/昨日/前日三个完整切日周期）"
-    )
+def _criteria_text(top_n: int) -> str:
+    return f"连续三日成交额均位列 Top{top_n}（今日/昨日/前日交集，涨跌幅不限）"
 
 
 def _pick_fields(row: dict) -> dict: