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>
2026-06-06 23:51:36 +08:00
parent 4fad5696df
commit cee641ba5d
23 changed files with 1557 additions and 14 deletions
@@ -0,0 +1,69 @@
+"""中控 AI：今日总结生成。"""
+from __future__ import annotations
+
+from typing import Any
+
+from hub_ai.client import generate_text, model_label
+from hub_ai.context import build_daily_context
+from hub_ai.prompts import SUMMARY_SYSTEM, build_summary_user_prompt
+from hub_ai.store import append_summary, get_latest_summary, list_summaries
+
+
+def generate_daily_summary(
+    exchanges: list[dict],
+    *,
+    trading_day: str | None = None,
+    force: bool = False,
+) -> dict[str, Any]:
+    ctx = build_daily_context(exchanges, trading_day=trading_day)
+    day = ctx["trading_day"]
+    if not force:
+        latest = get_latest_summary(day)
+        if latest and latest.get("context_hash") == ctx.get("context_hash"):
+            return {
+                "ok": True,
+                "cached": True,
+                "trading_day": day,
+                "summary": latest,
+                "model": latest.get("model") or model_label(),
+            }
+
+    system = SUMMARY_SYSTEM.replace("{trading_day}", day)
+    user = build_summary_user_prompt(ctx["text"], day)
+    content = generate_text(system=system, user=user, temperature=0.15)
+    if content.startswith("AI 调用失败"):
+        return {"ok": False, "msg": content, "trading_day": day}
+
+    stats_snapshot = {
+        "totals": ctx.get("totals"),
+        "by_account": {
+            str(ac.get("key") or ac.get("id")): {
+                "name": ac.get("name"),
+                "status": ac.get("status"),
+                "pnl_u": (ac.get("trade_stats") or {}).get("total_pnl_u"),
+                "closed_count": (ac.get("trade_stats") or {}).get("closed_count"),
+                "float_pnl_u": ac.get("float_pnl_u"),
+                "issues": ac.get("issues") or [],
+            }
+            for ac in ctx.get("accounts") or []
+        },
+    }
+    row = append_summary(
+        trading_day=day,
+        content_md=content,
+        model=model_label(),
+        context_hash=ctx.get("context_hash") or "",
+        stats_snapshot=stats_snapshot,
+    )
+    return {
+        "ok": True,
+        "cached": False,
+        "trading_day": day,
+        "summary": row,
+        "model": model_label(),
+        "context": ctx,
+    }
+
+
+def summary_list(trading_day: str | None = None) -> list[dict]:
+    return list_summaries(trading_day=trading_day)