删除实时行情、盘口深度和监控规则功能

Co-Authored-By: Claude <noreply@anthropic.com>

serve/backend/app/api/kline.py

@@ -137,16 +137,11 @@ def get_daily(
             logger.debug("单股除权因子拉取失败 %s: %s", symbol, e)
         enriched = compute_enriched(raw, factors=factors)
         rows = enriched.tail(days).to_dicts()
-        # 即使 live 模式也尝试追加实时蜡烛
-        rows = _maybe_inject_live_candle(request, symbol, rows)
         resp = {"symbol": symbol, "name": stock_name, "stock_info": stock_info, "rows": rows, "source": "live"}
         return _attach_ext(resp, repo, symbol, ext_columns)
 
     rows = df.to_dicts()
 
-    # 追加/覆盖今日实时蜡烛
-    rows = _maybe_inject_live_candle(request, symbol, rows)
-
     resp = {"symbol": symbol, "name": stock_name, "stock_info": stock_info, "rows": rows, "source": "enriched"}
     return _attach_ext(resp, repo, symbol, ext_columns)
 
@@ -216,77 +211,6 @@ def _attach_ext(resp: dict, repo, symbol: str, ext_columns: Optional[str]) -> di
     return resp
 
 
-def _maybe_inject_live_candle(request: Request, symbol: str, rows: list[dict]) -> list[dict]:
-    """如果 QuoteService 有实时 enriched 数据, 用实时数据生成今日蜡烛并追加/覆盖。"""
-    qs = getattr(request.app.state, "quote_service", None)
-    if not qs:
-        return rows
-
-    df_today, enriched_date = qs.get_enriched_today()
-    if df_today.is_empty():
-        return rows
-
-    # 非交易日（周末/假日）缓存的行情日期 != 今天，跳过注入避免产生重复蜡烛
-    if not enriched_date or enriched_date != date.today():
-        return rows
-
-    # 查找该 symbol 的实时 enriched 行
-    import polars as pl
-    try:
-        q = df_today.filter(pl.col("symbol") == symbol).to_dicts()
-        if not q:
-            return rows
-        q = q[0]
-    except Exception:  # noqa: BLE001
-        return rows
-
-    close_price = q.get("close")
-    if not close_price or close_price <= 0:
-        return rows
-
-    today_str = str(enriched_date)
-
-    # enriched 行已包含 OHLCV + 全套指标, 直接用它
-    # 修复: API 在非交易时段可能返回 open/high/low=0, 用 close 填充避免异常蜡烛
-    raw_open = q.get("open")
-    raw_high = q.get("high")
-    raw_low = q.get("low")
-    live_row: dict = {
-        "date": today_str,
-        "symbol": symbol,
-        "open": raw_open if raw_open and raw_open > 0 else close_price,
-        "high": raw_high if raw_high and raw_high > 0 else close_price,
-        "low": raw_low if raw_low and raw_low > 0 else close_price,
-        "close": close_price,
-        "volume": q.get("volume"),
-        "amount": q.get("amount"),
-        "change_pct": q.get("change_pct"),
-        "is_live": True,
-    }
-    # 补上 enriched 的技术指标字段
-    for key in ("ma5", "ma10", "ma20", "ma30", "ma60",
-                "macd_dif", "macd_dea", "macd_hist",
-                "kdj_k", "kdj_d", "kdj_j",
-                "boll_upper", "boll_lower",
-                "rsi_6", "rsi_14", "rsi_24",
-                "atr_14", "vol_ratio_5d"):
-        if key in q and q[key] is not None:
-            live_row[key] = q[key]
-
-    # 如果已有今天的 enriched 行, 覆盖; 否则追加
-    found = False
-    for i, r in enumerate(rows):
-        if str(r.get("date")) == today_str:
-            r.update(live_row)
-            found = True
-            break
-
-    if not found:
-        rows.append(live_row)
-
-    return rows
-
-
 class DailyBatchRequest:
     """批量日K请求。"""
     symbols: list[str]