feat: 计仓改为固定手数/固定金额，推荐过滤与CTP保证金，下单与持仓UI优化

Co-authored-by: Cursor <cursoragent@cursor.com>

recommend_store.py

@@ -59,18 +59,34 @@ def enrich_recommend_rows(
     capital: float,
     *,
     max_margin_pct: float = 30.0,
+    trading_mode: str = "simulation",
 ) -> list[dict]:
     """用当前权益与保证金比例补算最大可开手数（兼容旧缓存）。"""
     cap = float(capital or 0)
     pct = max(1.0, min(100.0, float(max_margin_pct or 30.0)))
     budget = cap * pct / 100.0 if cap > 0 else 0.0
+    ctp_connected = False
+    try:
+        from vnpy_bridge import ctp_estimate_margin_one_lot, ctp_status
+        ctp_connected = bool(ctp_status(trading_mode).get("connected"))
+    except Exception:
+        pass
     enriched: list[dict] = []
     for raw in rows:
         row = dict(raw)
+        margin_one = 0.0
         try:
             margin_one = float(row.get("margin_one_lot") or 0)
         except (TypeError, ValueError):
             margin_one = 0.0
+        price = float(row.get("price") or 0)
+        main_code = (row.get("main_code") or "").strip()
+        if ctp_connected and main_code and price > 0:
+            ctp_margin = ctp_estimate_margin_one_lot(trading_mode, main_code, price)
+            if ctp_margin and ctp_margin > 0:
+                margin_one = ctp_margin
+                row["margin_one_lot"] = ctp_margin
+                row["margin_source"] = "ctp"
         if margin_one > 0 and budget > 0:
             lots = int(math.floor(budget / margin_one))
         else:
@@ -84,13 +100,32 @@ def enrich_recommend_rows(
         row["max_margin_pct"] = pct
         status = row.get("status") or ""
         if lots >= 1 and status in ("ok", "margin_ok"):
+            src = "柜台" if row.get("margin_source") == "ctp" else "估算"
             row["status_label"] = (
                 f"最大 {lots} 手" if status == "ok" else f"最大 {lots} 手·止损偏宽"
             )
+            if row.get("margin_source") == "ctp":
+                row["status_label"] += f"（{src}保证金）"
+        elif lots < 1 and status in ("ok", "margin_ok"):
+            row["status"] = "blocked"
+            row["status_label"] = "资金不足"
         enriched.append(row)
     return enriched
 
 
+def filter_recommend_by_sizing(
+    rows: list[dict],
+    *,
+    sizing_mode: str,
+    fixed_lots: int = 1,
+) -> list[dict]:
+    """固定手数模式下：最大手数低于设定值的品种不展示。"""
+    if (sizing_mode or "").strip().lower() != "fixed":
+        return rows
+    fl = max(1, int(fixed_lots or 1))
+    return [r for r in rows if int(r.get("max_lots") or 0) >= fl]
+
+
 def refresh_recommend_cache(
     conn,
     capital: float,
@@ -164,6 +199,9 @@ def recommend_payload(
     *,
     live_capital: float,
     max_margin_pct: float = 30.0,
+    trading_mode: str = "simulation",
+    sizing_mode: str = "fixed",
+    fixed_lots: int = 1,
 ) -> dict:
     """读取缓存并附带当前权益（展示用，可能与缓存计算时不同）。"""
     payload = load_recommend_cache(conn)
@@ -172,6 +210,10 @@ def recommend_payload(
     payload["capital"] = cap
     payload["max_margin_pct"] = pct
     rows = payload.get("rows") or []
-    payload["rows"] = enrich_recommend_rows(rows, cap, max_margin_pct=pct)
+    rows = enrich_recommend_rows(
+        rows, cap, max_margin_pct=pct, trading_mode=trading_mode,
+    )
+    rows = filter_recommend_by_sizing(rows, sizing_mode=sizing_mode, fixed_lots=fixed_lots)
+    payload["rows"] = rows
     payload["needs_refresh"] = recommend_cache_needs_refresh(payload, capital=cap)
     return payload