feat: AI日报核心股追踪章节增加连续上榜股票（近3日+）

backend/routes/core_stocks.py

@@ -90,6 +90,77 @@ async def active_core_stocks(days: int = Query(10, ge=1, le=30, description="交
         conn.close()
 
 
+@router.get("/consecutive", summary="连续上榜的核心股")
+async def consecutive_core_stocks(min_days: int = Query(3, ge=2, le=10, description="最小连续天数")):
+    from datetime import date as date_cls
+    conn = get_connection()
+    try:
+        # 最近30个有数据的交易日
+        rows = conn.execute(
+            "SELECT DISTINCT trade_date FROM daily_core_stocks ORDER BY trade_date DESC LIMIT 30"
+        ).fetchall()
+        all_dates = [r["trade_date"] for r in reversed(rows)]
+
+        if not all_dates:
+            return JSONResponse({"stocks": []}, headers=_NO_CACHE_HEADERS)
+
+        # 查询所有上榜记录
+        placeholders = ",".join("?" * len(all_dates))
+        rows = conn.execute(
+            f"""SELECT trade_date, stock_code, stock_name, f3, cover_count
+                FROM daily_core_stocks
+                WHERE trade_date IN ({placeholders})
+                ORDER BY stock_code, trade_date""",
+            all_dates,
+        ).fetchall()
+
+        # 按股票分组，记录上榜日期
+        stock_dates: dict[str, dict] = {}
+        for r in rows:
+            code = r["stock_code"]
+            s = stock_dates.setdefault(code, {
+                "stockCode": code,
+                "stockName": r["stock_name"],
+                "dates": [],
+                "dailyGains": {},
+            })
+            s["dates"].append(r["trade_date"])
+            s["dailyGains"][r["trade_date"]] = r["f3"]
+
+        # 计算连续上榜天数（从最新交易日往回数）
+        results = []
+        for code, s in stock_dates.items():
+            dates_list = sorted(s["dates"])
+            consecutive = 0
+            last_n = []
+            for i in range(len(dates_list) - 1, -1, -1):
+                if i == len(dates_list) - 1:
+                    consecutive = 1
+                    last_n.append(dates_list[i])
+                else:
+                    prev_idx = all_dates.index(dates_list[i + 1]) if dates_list[i + 1] in all_dates else -1
+                    curr_idx = all_dates.index(dates_list[i]) if dates_list[i] in all_dates else -1
+                    if prev_idx - curr_idx <= 2:
+                        consecutive += 1
+                        last_n.append(dates_list[i])
+                    else:
+                        break
+
+            if consecutive >= min_days:
+                results.append({
+                    "stockCode": code,
+                    "stockName": s["stockName"],
+                    "consecutiveDays": consecutive,
+                    "recentDates": last_n,
+                    "dailyGains": {d: s["dailyGains"].get(d) for d in last_n},
+                })
+
+        results.sort(key=lambda x: -x["consecutiveDays"])
+        return JSONResponse({"stocks": results}, headers=_NO_CACHE_HEADERS)
+    finally:
+        conn.close()
+
+
 @router.get("/history", summary="指定交易日核心股(含所属题材)")
 async def core_stock_history(date: str = Query(..., description="交易日 YYYY-MM-DD")):
     conn = get_connection()