Restructure into modules/ with single-process CTP and config/ layout.

Move business code under modules/, env template to config/, PM2 single qihuo process, and _legacy shims for old imports.

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

modules/notify/ai_worker.py

@@ -0,0 +1,173 @@
+# Copyright (c) 2025-2026 马建军. All rights reserved.
+# 专有软件 — 未经授权禁止复制、传播、转售。
+# 严禁用于：带单/代客理财、向他人推荐期货品种或买卖建议、融资配资等业务。
+# 详见 LICENSE.zh-CN.txt 与 docs/软件购买与使用协议.md
+
+"""AI 后台：开仓/平仓分析、日终持仓报告。"""
+from __future__ import annotations
+
+import json
+import logging
+import threading
+from datetime import datetime
+from typing import Callable, Optional
+from zoneinfo import ZoneInfo
+
+logger = logging.getLogger(__name__)
+TZ = ZoneInfo("Asia/Shanghai")
+DAILY_REPORT_KEY = "ai_daily_report_last_date"
+
+
+def schedule_ai_event_analysis(
+    *,
+    db_path: str,
+    get_setting_fn: Callable[[str, str], str],
+    kind: str,
+    title: str,
+    payload: dict,
+    send_wechat_fn: Callable[[str], None] | None = None,
+) -> None:
+    """后台线程：调用 AI 并写入 ai_messages。"""
+    if not (get_setting_fn("ai_enabled", "0") or "0").strip() in ("1", "true", "yes"):
+        return
+
+    def _run() -> None:
+        from modules.notify.ai_client import analyze_trading_event
+        from modules.notify.ai_messages import insert_ai_message
+        from modules.core.db_conn import connect_db
+
+        ok, content = analyze_trading_event(
+            get_setting=get_setting_fn,
+            event_kind=kind,
+            payload=payload,
+        )
+        if not ok:
+            content = f"⚠ {content}"
+        try:
+            conn = connect_db(db_path)
+            try:
+                insert_ai_message(
+                    conn,
+                    kind=kind,
+                    title=title,
+                    content=content,
+                    meta=payload,
+                )
+                conn.commit()
+            finally:
+                conn.close()
+            if send_wechat_fn and ok:
+                send_wechat_fn(f"🤖 AI 分析 · {title}\n\n{content[:1800]}")
+        except Exception as exc:
+            logger.warning("AI event analysis failed: %s", exc)
+
+    threading.Thread(target=_run, daemon=True, name="ai-event").start()
+
+
+def _today_trading_summary(conn, day: str) -> dict:
+    rows = conn.execute(
+        """SELECT symbol, symbol_name, direction, pnl_net, result, close_time
+           FROM trade_logs WHERE close_time LIKE ? ORDER BY id ASC""",
+        (f"{day}%",),
+    ).fetchall()
+    wins = losses = 0
+    pnl_sum = 0.0
+    trades = []
+    for r in rows:
+        pnl = float(r["pnl_net"] or 0)
+        pnl_sum += pnl
+        if pnl >= 0:
+            wins += 1
+        else:
+            losses += 1
+        trades.append(dict(r))
+    positions = conn.execute(
+        """SELECT symbol, symbol_name, direction, lots, entry_price, stop_loss, take_profit, monitor_type
+           FROM trade_order_monitors WHERE status='active'"""
+    ).fetchall()
+    return {
+        "date": day,
+        "trade_count": len(trades),
+        "wins": wins,
+        "losses": losses,
+        "pnl_net_total": round(pnl_sum, 2),
+        "trades": trades[:20],
+        "active_positions": [dict(p) for p in positions],
+    }
+
+
+def maybe_run_daily_ai_report(
+    *,
+    db_path: str,
+    get_setting_fn: Callable[[str, str], str],
+    set_setting_fn: Callable[[str, str], None],
+    send_wechat_fn: Callable[[str], None] | None = None,
+) -> None:
+    if not (get_setting_fn("ai_enabled", "0") or "0").strip() in ("1", "true", "yes"):
+        return
+    if (get_setting_fn("ai_daily_report_enabled", "1") or "1").strip() not in ("1", "true", "yes"):
+        return
+    now = datetime.now(TZ)
+    day = now.strftime("%Y-%m-%d")
+    if get_setting_fn(DAILY_REPORT_KEY, "") == day:
+        return
+    try:
+        hour = int(float(get_setting_fn("ai_daily_report_hour", "15") or 15))
+        minute = int(float(get_setting_fn("ai_daily_report_minute", "5") or 5))
+    except (TypeError, ValueError):
+        hour, minute = 15, 5
+    if (now.hour, now.minute) < (hour, minute):
+        return
+
+    from modules.notify.ai_client import analyze_trading_event
+    from modules.notify.ai_messages import insert_ai_message
+    from modules.core.db_conn import connect_db
+
+    try:
+        conn = connect_db(db_path)
+        try:
+            summary = _today_trading_summary(conn, day)
+            ok, content = analyze_trading_event(
+                get_setting=get_setting_fn,
+                event_kind="daily_report",
+                payload=summary,
+            )
+            title = f"{day} 日终持仓与交易报告"
+            if not ok:
+                content = f"⚠ {content}"
+            insert_ai_message(conn, kind="daily_report", title=title, content=content, meta=summary)
+            conn.commit()
+            set_setting_fn(DAILY_REPORT_KEY, day)
+            if send_wechat_fn and ok:
+                send_wechat_fn(f"🤖 {title}\n\n{content[:1800]}")
+        finally:
+            conn.close()
+    except Exception as exc:
+        logger.warning("AI daily report failed: %s", exc)
+
+
+def start_ai_worker(
+    *,
+    db_path: str,
+    get_setting_fn: Callable[[str, str], str],
+    set_setting_fn: Callable[[str, str], None],
+    send_wechat_fn: Callable[[str], None] | None = None,
+    interval_sec: int = 60,
+) -> None:
+    import time
+
+    def _loop() -> None:
+        time.sleep(30)
+        while True:
+            try:
+                maybe_run_daily_ai_report(
+                    db_path=db_path,
+                    get_setting_fn=get_setting_fn,
+                    set_setting_fn=set_setting_fn,
+                    send_wechat_fn=send_wechat_fn,
+                )
+            except Exception as exc:
+                logger.debug("ai worker: %s", exc)
+            time.sleep(max(30, interval_sec))
+
+    threading.Thread(target=_loop, daemon=True, name="ai-worker").start()