feat: K线增加分钟/小时周期切换，拆分独立KLineCard组件

- 后端：腾讯 mkline 新增 /api/stock/history-minute（m1/m5/m15/m30/m60）
- 新组件 kline-card.tsx：自包含周期/折线蜡烛/指标开关与K线数据加载，
  切周期只重拉K线，不刷新页面其他模块
- 详情页瘦身为独立模块：K线图 / 今开最高最低昨收 / 每日行情明细互不耦合
- 时间统一按 UTC 解析传 Unix 秒，修复日线 invalid date/N/A 与分钟线时区问题
- 资金流向失败降级为非致命，不再导致整页报错
- vite 构建拆分 recharts/lightweight-charts/router 独立 chunk

backend/routes/stock.py

@@ -84,6 +84,23 @@ async def stock_history(
     raise HTTPException(status_code=404, detail="未获取到K线数据")
 
 
+@router.get("/history-minute", summary="分钟/小时级K线")
+async def stock_history_minute(
+    code: str = Query(..., description="6位股票代码"),
+    period: str = Query("60", description="周期：m1/m5/m15/m30/m60（60=小时线）"),
+    count: int = Query(320, description="K线数量"),
+):
+    if not re.match(r"^\d{6}$", code):
+        raise HTTPException(status_code=400, detail="股票代码格式错误，需为6位数字")
+    if period not in ("m1", "m5", "m15", "m30", "m60"):
+        raise HTTPException(status_code=400, detail="period 仅支持 m1/m5/m15/m30/m60")
+
+    klines = await tencent.fetch_history_minute(code, period, count)
+    if not klines:
+        raise HTTPException(status_code=404, detail="未获取到分钟K线数据")
+    return {"data": klines, "count": len(klines), "source": "tencent-minute"}
+
+
 @router.get("/profile", response_model=dict, summary="公司概况")
 async def company_profile(code: str = Query(..., description="6位股票代码")):
     """获取东方财富F10公司概况数据"""

backend/services/tencent.py

@@ -257,6 +257,64 @@ async def fetch_history(code: str, days: int = 90) -> List[dict]:
             return []
 
 
+async def fetch_history_minute(code: str, period: str = "60", count: int = 320) -> List[dict]:
+    """获取分钟级 K 线（腾讯 mkline 接口）
+
+    period: m1/m5/m15/m30/m60（60=小时线）
+    返回格式与日K一致，date 为 'YYYY-MM-DD HH:MM'（北京时间）。
+    """
+    market = get_market_prefix(code)
+    stock_code = f"{market}{code}"
+    # 腾讯 mkline：param=代码,周期,,数量
+    url = f"https://ifzq.gtimg.cn/appstock/app/kline/mkline?param={stock_code},{period},,{count}"
+    headers = {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
+        "Referer": "https://stockapp.finance.qq.com/",
+    }
+
+    async with httpx.AsyncClient() as client:
+        try:
+            resp = await client.get(url, headers=headers, timeout=10)
+            if resp.status_code != 200:
+                return []
+            data = resp.json()
+            stock_data = data.get("data", {}).get(stock_code, {})
+            raw = stock_data.get(period) or []
+            if not isinstance(raw, list):
+                return []
+            result = []
+            prev_close = 0
+            for record in raw:
+                if not isinstance(record, list) or len(record) < 6:
+                    continue
+                # record[0] = 'YYYYMMDDHHMM'，转成 'YYYY-MM-DD HH:MM'
+                raw_dt = str(record[0])
+                try:
+                    dt_str = f"{raw_dt[0:4]}-{raw_dt[4:6]}-{raw_dt[6:8]} {raw_dt[8:10]}:{raw_dt[10:12]}"
+                except Exception:
+                    continue
+                close = float(record[2]) if record[2] else 0
+                change_pct = 0
+                if prev_close > 0:
+                    change_pct = (close - prev_close) / prev_close * 100
+                result.append({
+                    "date": dt_str,
+                    "open": float(record[1]) if record[1] else 0,
+                    "close": close,
+                    "high": float(record[3]) if record[3] else 0,
+                    "low": float(record[4]) if record[4] else 0,
+                    "volume": int(float(record[5])) if record[5] else 0,
+                    "changePercent": round(change_pct, 2),
+                })
+                prev_close = close
+            # 丢弃最旧1条（prev_close=0 涨跌幅失真）
+            if len(result) > 1:
+                result = result[1:]
+            return result
+        except Exception:
+            return []
+
+
 async def fetch_kline_map(code: str, days: int = 30) -> dict:
     """获取K线数据并返回 { date: { close, changePercent, turnover } } 映射"""
     market = get_market_prefix(code)