feat(hub): add AI coach page with daily summary and chat

Aggregate four-account trades via hub_ai module and /api/hub/trades/today; store sessions in JSON; default OpenAI config matches instances.

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

manual_trading_hub/hub_ai/chat.py

@@ -0,0 +1,88 @@
+"""中控 AI：单会话聊天（直到用户点击新开）。"""
+from __future__ import annotations
+
+from typing import Any
+
+from hub_ai.client import generate_text, model_label
+from hub_ai.config import CHAT_MAX_HISTORY_TURNS, CHAT_TEMPERATURE
+from hub_ai.context import build_daily_context, format_chat_context_brief
+from hub_ai.prompts import CHAT_SYSTEM, build_chat_user_prompt
+from hub_ai.store import (
+    append_chat_message,
+    create_new_session,
+    ensure_active_session,
+    get_active_session,
+    load_chat_store,
+    summary_excerpt_for_chat,
+)
+
+
+def _history_lines(messages: list[dict], max_turns: int = CHAT_MAX_HISTORY_TURNS) -> str:
+    rows = [m for m in (messages or []) if m.get("role") in ("user", "assistant")]
+    rows = rows[-max_turns * 2 :]
+    lines = []
+    for m in rows:
+        role = "用户" if m.get("role") == "user" else "搭档"
+        lines.append(f"{role}：{m.get('content') or ''}")
+    return "\n".join(lines)
+
+
+def get_chat_state() -> dict[str, Any]:
+    store = load_chat_store()
+    session = get_active_session()
+    return {
+        "active_session_id": store.get("active_session_id"),
+        "session": session,
+        "model": model_label(),
+    }
+
+
+def start_new_chat(*, trading_day: str) -> dict:
+    session = create_new_session(trading_day=trading_day)
+    return {"ok": True, "session": session, "model": model_label()}
+
+
+def send_chat_message(
+    exchanges: list[dict],
+    message: str,
+    *,
+    trading_day: str | None = None,
+) -> dict[str, Any]:
+    text = (message or "").strip()
+    if not text:
+        return {"ok": False, "msg": "消息不能为空"}
+
+    ctx = build_daily_context(exchanges, trading_day=trading_day)
+    day = ctx["trading_day"]
+    session = ensure_active_session(trading_day=day)
+    sid = session["id"]
+    history = _history_lines(session.get("messages") or [])
+
+    append_chat_message(sid, "user", text)
+
+    brief_ctx = format_chat_context_brief(ctx)
+    excerpt = summary_excerpt_for_chat(day)
+
+    user_prompt = build_chat_user_prompt(
+        context_text=brief_ctx,
+        trading_day=day,
+        summary_excerpt=excerpt,
+        history_lines=history,
+        user_message=text,
+    )
+    reply = generate_text(
+        system=CHAT_SYSTEM,
+        user=user_prompt,
+        temperature=CHAT_TEMPERATURE,
+    )
+    if reply.startswith("AI 调用失败"):
+        return {"ok": False, "msg": reply, "session_id": sid}
+
+    session = append_chat_message(sid, "assistant", reply)
+    return {
+        "ok": True,
+        "trading_day": day,
+        "session": session,
+        "reply": reply,
+        "model": model_label(),
+    }