fix: 新浪/腾讯5min K线数据源补全amount字段，修复资金流向数据缺失

stock-html/sync_kline_5min.py

@@ -243,8 +243,9 @@ def fetch_5min_kline_sina(code):
                 l = float(row.get('low', 0))
                 c = float(row.get('close', 0))
                 v = int(float(row.get('volume', 0)))
+                amt = float(row.get('amount', 0))
 
-                rows.append((code, dt, o, h, l, c, v, 0.0, 0.0))
+                rows.append((code, dt, o, h, l, c, v, amt, 0.0))
             return rows if rows else None
 
         except (IndexError, KeyError, ValueError):
@@ -366,7 +367,8 @@ def fetch_5min_kline_tencent(code):
                 dt = datetime(today.year, today.month, today.day, h, m, 0)
             except (ValueError, IndexError):
                 continue
-            min_data.append((dt, price, vol))
+            amt = float(parts[3]) if len(parts) > 3 else 0.0
+            min_data.append((dt, price, vol, amt))
 
         if not min_data:
             return None
@@ -375,26 +377,30 @@ def fetch_5min_kline_tencent(code):
         # 5分钟窗口: 09:30-09:35, 09:35-09:40, ...
         from collections import defaultdict
         bars = defaultdict(list)
-        for dt, price, vol in min_data:
+        for dt, price, vol, amt in min_data:
             # 5分钟窗口起始时间
             minute = dt.minute
             bar_min = (minute // 5) * 5
             bar_dt = dt.replace(minute=bar_min, second=0)
-            bars[bar_dt].append((price, vol))
+            bars[bar_dt].append((price, vol, amt))
 
         rows = []
         prev_vol = 0
+        prev_amt = 0
         for bar_dt in sorted(bars.keys()):
             ticks = bars[bar_dt]
             o = ticks[0][0]     # 第一个价格
             c = ticks[-1][0]    # 最后一个价格
-            h = max(p for p, _ in ticks)
-            l = min(p for p, _ in ticks)
-            # 腾讯的volume是累积值，取窗口最后的 - 窗口最前的之前
+            h = max(p for p, _, _ in ticks)
+            l = min(p for p, _, _ in ticks)
+            # 腾讯的volume和amount是累积值，取窗口最后的 - 前一窗口最后的
             last_vol = ticks[-1][1]
             bar_vol = last_vol - prev_vol if prev_vol > 0 else ticks[-1][1]
             prev_vol = last_vol
-            rows.append((code, bar_dt, o, h, l, c, max(0, bar_vol), 0.0, 0.0))
+            last_amt = ticks[-1][2]
+            bar_amt = last_amt - prev_amt if prev_amt > 0 else ticks[-1][2]
+            prev_amt = last_amt
+            rows.append((code, bar_dt, o, h, l, c, max(0, bar_vol), max(0, bar_amt), 0.0))
 
         return rows if rows else None