Initialize crypto_monitor_user (user edition) from monitor codebase.

Retarget git remote, install path, and deploy docs from crypto_monitor to crypto_monitor_user. Co-authored-by: Cursor <cursoragent@cursor.com>
2026-07-17 16:18:13 +08:00
commit 53863559f4
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+"""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,
+    collect_closed_trades_snapshot,
+    format_account_remark,
+    format_summary_context_text,
+    summary_context_hash,
+)
+from hub_ai.prompts import SUMMARY_SYSTEM, build_summary_user_prompt
+from hub_ai.store import append_summary, get_latest_summary, list_summaries
+
+
+def _stats_snapshot_from_ctx(ctx: dict) -> dict:
+    day = ctx.get("trading_day")
+    accounts = ctx.get("accounts") or []
+    return {
+        "totals": ctx.get("totals"),
+        "closed_trades": collect_closed_trades_snapshot(accounts, today=day),
+        "by_account": {
+            str(ac.get("key") or ac.get("id")): {
+                "key": ac.get("key"),
+                "name": ac.get("name"),
+                "status": ac.get("status"),
+                "funding_usdt": ac.get("funding_usdt"),
+                "trading_usdt": ac.get("trading_usdt"),
+                "available_trading_usdt": ac.get("available_trading_usdt"),
+                "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"),
+                "remark": format_account_remark(ac),
+                "monitor_lines": ac.get("monitor_lines") or {},
+                "issues": ac.get("issues") or [],
+            }
+            for ac in accounts
+        },
+    }
+
+
+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"]
+    summary_payload = {
+        "trading_day": day,
+        "totals": ctx.get("totals"),
+        "accounts": ctx.get("accounts"),
+    }
+    summary_text = format_summary_context_text(summary_payload)
+    digest = summary_context_hash(summary_payload)
+    if not force:
+        latest = get_latest_summary(day)
+        if latest and latest.get("context_hash") == digest:
+            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(summary_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 = _stats_snapshot_from_ctx(ctx)
+    row = append_summary(
+        trading_day=day,
+        content_md=content,
+        model=model_label(),
+        context_hash=digest,
+        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)