fix: K线迁移 + 清理重复文件

migrate_all.py:
- 新增 migrate_klines(): multi_tf_cache.json → stock_daily/weekly/monthly + stock_fundamentals
- 迁移量: daily=5520, weekly=1104, monthly=552 (46只股票)
- 验证表新增 stock_daily/weekly/monthly/fundamentals

清理:
- 删除 web/static/ (与根目录 static/ 重复，server.py 使用 static/)

migrate_all.py

@@ -479,6 +479,88 @@ def migrate_strategy_feedback(conn, sf: dict) -> int:
     return count
 
 
+def migrate_klines(conn) -> tuple[int, int, int]:
+    """multi_tf_cache.json → stock_daily + stock_weekly + stock_monthly + stock_fundamentals"""
+    data = load_json("multi_tf_cache.json")
+    if not data:
+        return 0, 0, 0
+
+    daily_count, weekly_count, monthly_count = 0, 0, 0
+
+    for code, stock in data.items():
+        code = _normalize_code(code)
+        if not code or code.startswith("_"):
+            continue
+
+        name = code  # 从 stocks 表或 profiles 获取名称
+        try:
+            row = conn.execute("SELECT name FROM stocks WHERE code = ?", (code,)).fetchone()
+            if row:
+                name = row[0]
+        except Exception:
+            pass
+
+        # K线数据
+        for period, table, key in [
+            ("daily", "stock_daily", "daily"),
+            ("weekly", "stock_weekly", "weekly"),
+            ("monthly", "stock_monthly", "monthly"),
+        ]:
+            bars = stock.get(key, [])
+            if not bars or isinstance(bars, dict):
+                continue
+            rows = []
+            for b in bars:
+                if not isinstance(b, dict):
+                    continue
+                d = b.get("date", "")
+                if not d:
+                    continue
+                if period == "daily":
+                    rows.append((code, d, b.get("open"), b.get("close"),
+                                 b.get("high"), b.get("low"), b.get("volume"),
+                                 b.get("amount")))
+                else:
+                    rows.append((code, d, b.get("open"), b.get("close"),
+                                 b.get("high"), b.get("low"), b.get("volume")))
+
+            if rows:
+                try:
+                    if period == "daily":
+                        conn.executemany(
+                            "INSERT OR REPLACE INTO stock_daily (code, date, open, close, high, low, volume, amount) "
+                            "VALUES (?, ?, ?, ?, ?, ?, ?, ?)", rows)
+                        daily_count += len(rows)
+                    elif period == "weekly":
+                        conn.executemany(
+                            "INSERT OR REPLACE INTO stock_weekly (code, date, open, close, high, low, volume) "
+                            "VALUES (?, ?, ?, ?, ?, ?, ?)", rows)
+                        weekly_count += len(rows)
+                    else:
+                        conn.executemany(
+                            "INSERT OR REPLACE INTO stock_monthly (code, date, open, close, high, low, volume) "
+                            "VALUES (?, ?, ?, ?, ?, ?, ?)", rows)
+                        monthly_count += len(rows)
+                except Exception:
+                    pass
+
+        # 基本面
+        fundamentals = stock.get("fundamentals")
+        if fundamentals and isinstance(fundamentals, dict):
+            try:
+                conn.execute(
+                    "INSERT OR REPLACE INTO stock_fundamentals (code, pe, pb, eps, mcap_total, mcap_flow, updated_at) "
+                    "VALUES (?, ?, ?, ?, ?, ?, ?)",
+                    (code, fundamentals.get("pe"), fundamentals.get("pb"),
+                     fundamentals.get("eps"), fundamentals.get("mcap_total"),
+                     fundamentals.get("mcap_flow"), datetime.now().isoformat()))
+            except Exception:
+                pass
+
+    conn.commit()
+    return daily_count, weekly_count, monthly_count
+
+
 def main():
     print("=" * 60)
     print("  MoFin 数据迁移 → mofin.db")
@@ -572,7 +654,14 @@ def main():
     if sf:
         n = migrate_strategy_feedback(conn, sf)
         totals["strategy_feedback"] = n
-        print(f"[12/12] strategy_feedback: {n} 条")
+        print(f"[12/13] strategy_feedback: {n} 条")
+
+    # 13. K线数据
+    dc, wc, mc = migrate_klines(conn)
+    totals["daily_klines"] = dc
+    totals["weekly_klines"] = wc
+    totals["monthly_klines"] = mc
+    print(f"[13/13] K-lines: daily={dc}, weekly={wc}, monthly={mc}")
 
     conn.commit()
 
@@ -594,6 +683,10 @@ def main():
         "advice_timeline": "SELECT COUNT(*) FROM advice_timeline",
         "accuracy_stats": "SELECT COUNT(*) FROM accuracy_stats",
         "strategy_feedback": "SELECT COUNT(*) FROM strategy_feedback",
+        "stock_daily": "SELECT COUNT(*) FROM stock_daily",
+        "stock_weekly": "SELECT COUNT(*) FROM stock_weekly",
+        "stock_monthly": "SELECT COUNT(*) FROM stock_monthly",
+        "stock_fundamentals": "SELECT COUNT(*) FROM stock_fundamentals",
     }
     for name, sql in tables.items():
         n = conn.execute(sql).fetchone()[0]