perf(hub-ai): reduce CPU load during trading coach chat

Cache chat context, parallelize exchange fetches, skip fund history writes, defer rolling summary to a background thread, and cache markdown rendering on the client.

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

manual_trading_hub/hub_ai/chat.py

@@ -1,6 +1,7 @@
 """中控 AI：单会话聊天（直到用户点击新开）。"""
 from __future__ import annotations
 
+import threading
 from typing import Any, Optional
 
 from hub_ai.attachments import parse_chat_attachments
@@ -20,7 +21,7 @@ from hub_ai.config import (
 )
 from hub_trades_lib import current_trading_day
 from hub_ai.context import (
-    build_daily_context,
+    build_chat_context,
     format_chat_context_for_chat,
     format_chat_position_overview,
 )
@@ -213,7 +214,7 @@ def send_chat_message(
             user_prompt += "\n\n【附件正文】\n" + _clip_text(parsed["text_append"], 3000)
         system_prompt = CHAT_GENERAL_SYSTEM
     else:
-        ctx = build_daily_context(exchanges, trading_day=day)
+        ctx = build_chat_context(exchanges, trading_day=day)
         day = ctx["trading_day"]
         brief_ctx, excerpt = _trading_context_bundle(ctx, prior_count=prior_count)
         user_prompt = build_chat_user_prompt(
@@ -247,13 +248,21 @@ def send_chat_message(
         attachments=parsed.get("attachment_meta") or [],
     )
     session = append_chat_message(sid, "assistant", reply)
-    refresh_session_rolling_summary(
-        sid,
-        prior_summary=prior_rolling,
-        user_text=user_visible,
-        assistant_text=reply,
-        bot_mode=bot_mode,
-    )
+    summary_kwargs = {
+        "session_id": sid,
+        "prior_summary": prior_rolling,
+        "user_text": user_visible,
+        "assistant_text": reply,
+        "bot_mode": bot_mode,
+    }
+
+    def _refresh_summary_bg() -> None:
+        try:
+            refresh_session_rolling_summary(**summary_kwargs)
+        except Exception:
+            pass
+
+    threading.Thread(target=_refresh_summary_bg, daemon=True).start()
     session = get_active_session() or session
     return {
         "ok": True,