Document Git-only deploy workflow and reduce positions page IPC blocking.

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

recommend_store.py

@@ -110,15 +110,29 @@ def recommend_cache_needs_refresh(
 
 def _ctp_connected_for_mode(trading_mode: str) -> bool:
     try:
-        from vnpy_bridge import ctp_status
+        from position_stream import position_hub
 
-        return bool(ctp_status(trading_mode).get("connected"))
+        snap = position_hub.get_snapshot() or {}
+        st = snap.get("ctp_status")
+        if isinstance(st, dict) and st:
+            return bool(st.get("connected"))
     except Exception:
-        return False
+        pass
+    del trading_mode
+    return False
 
 
 def recommend_margin_used(trading_mode: str) -> float:
     """当前持仓已占用保证金（各持仓 CTP 回报之和，与柜台持仓保证金一致）。"""
+    try:
+        from position_stream import position_hub
+
+        snap = position_hub.get_snapshot() or {}
+        raw = snap.get("margin_used")
+        if raw is not None:
+            return max(0.0, float(raw or 0))
+    except Exception:
+        pass
     if not _ctp_connected_for_mode(trading_mode):
         return 0.0
     try:
@@ -162,6 +176,7 @@ def enrich_recommend_rows(
     max_margin_pct: float = 30.0,
     trading_mode: str = "simulation",
     margin_used: float = 0.0,
+    use_ctp_margin: bool = True,
 ) -> 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)
@@ -193,7 +208,7 @@ def enrich_recommend_rows(
                 code_for_margin,
                 price,
                 direction="max",
-                trading_mode=trading_mode if ctp_connected else None,
+                trading_mode=trading_mode if (ctp_connected and use_ctp_margin) else None,
             )
             if spec_used.get("mult"):
                 row["mult"] = spec_used["mult"]
@@ -340,19 +355,39 @@ def recommend_payload(
     trading_mode: str = "simulation",
     sizing_mode: str = "fixed",
     fixed_lots: int = 1,
+    use_ctp_margin: bool = True,
 ) -> 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)
     cap = float(live_capital or 0)
     pct = max(1.0, min(100.0, float(max_margin_pct or 30.0)))
-    used = recommend_margin_used(trading_mode)
+    if use_ctp_margin:
+        used = recommend_margin_used(trading_mode)
+    else:
+        used = 0.0
+        try:
+            from position_stream import position_hub
+
+            snap = position_hub.get_snapshot() or {}
+            raw = snap.get("margin_used")
+            if raw is not None:
+                used = max(0.0, float(raw or 0))
+        except Exception:
+            pass
+        if used <= 0:
+            used = float(payload.get("margin_used") or 0)
     budget_info = margin_budget_info(cap, pct, used)
     payload["capital"] = cap
     payload["max_margin_pct"] = pct
     payload.update(budget_info)
     rows = payload.get("rows") or []
     rows = enrich_recommend_rows(
-        rows, cap, max_margin_pct=pct, trading_mode=trading_mode, margin_used=used,
+        rows,
+        cap,
+        max_margin_pct=pct,
+        trading_mode=trading_mode,
+        margin_used=used,
+        use_ctp_margin=use_ctp_margin,
     )
     rows = filter_rows_for_account_scope(
         rows, cap, ctp_connected=_ctp_connected_for_mode(trading_mode),