# -*- coding: utf-8 -*- """ 决策系统盘中信号的解析与消化规则 (纯逻辑, 无外部依赖, 可单测) ================================================================ 设计 POSITION_MGMT_DESIGN.md §10「信号消化」与 §1: 「风控 SELL、盘中 ENTRY/EXIT 广播照常产出, 但**下游停止直接执行**, 改由 PMS 订阅消化后统一决定卖出指令。」 两条流的真实格式 (2026-07-28 从 trading_service 的两个消费者实测确认): 买入/盘中信号 Redis db2, key = `intraday_signals:{YYYY-MM-DD}`, 每日一条流 扁平字段: ts_code / action(BUY|SELL|HOLD) / confidence(**0~1**) / component_scores(JSON 字符串, 内含 minute_qrs) / suggested_price 风控卖出信号 Redis db3, key = `bionic:signals:llm_sell_actions`, 固定 key 外层含 data(JSON 字符串), 内层: ts_code / action(SELL) / confidence(**0~100**) / dominant_signal / llm_reason 两条流的置信度**尺度不同**(0~1 与 0~100), 这是最容易踩的坑, 统一在 parse 里归一到 0~1。 消化口径 (PMS 侧): * SELL 信号 —— 只对**持有的票**有意义。置信度够高即转卖出动作 (减持方向不设确认门槛, 与保垫减仓同一口径); 置信度中等则落提议队列等用户裁决。 * BUY / HOLD 信号 —— **不产生买入动作**。买什么、买多少是 PMS 自己的命令与动作引擎说了算 (设计: 持仓系统管「做什么、多少」)。这类信号只作为择时参考落痕, 不越权。 """ from __future__ import annotations import json SRC_INTRADAY, SRC_RISK_SELL = "intraday", "risk_sell" ACT_EXIT, ACT_PROPOSE, ACT_RECORD, ACT_IGNORE = "EXIT", "PROPOSE", "RECORD", "IGNORE" def _num(v, d=0.0): try: return float(v) except (TypeError, ValueError): return d def _norm_conf(v) -> float: """置信度归一到 0~1。两条流一条给 0~1 一条给 0~100, 大于 1 的一律按百分制处理。""" c = _num(v) if c > 1: c = c / 100.0 return max(0.0, min(1.0, c)) def parse_intraday(fields: dict, *, msg_id: str = None) -> dict: """买入/盘中信号流 (db2) 的一条消息 → 归一结构。""" f = fields or {} scores = {} raw_scores = f.get("component_scores") if raw_scores: try: scores = json.loads(raw_scores) if isinstance(raw_scores, str) else dict(raw_scores) except (json.JSONDecodeError, TypeError, ValueError): scores = {} return {"source": SRC_INTRADAY, "msg_id": msg_id, "ts_code": (f.get("ts_code") or "").strip(), "action": (f.get("action") or "").strip().upper(), "confidence": _norm_conf(f.get("confidence")), "minute_qrs": _num(scores.get("minute_qrs")), "suggested_price": _num(f.get("suggested_price")) or None, "reason": f.get("reason") or f.get("llm_reason") or "", "dominant_signal": f.get("dominant_signal") or ""} def parse_risk_sell(fields: dict, *, msg_id: str = None) -> dict: """风控卖出信号流 (db3) 的一条消息 → 归一结构。外层套一层 data JSON 字符串。""" f = fields or {} inner = f raw = f.get("data") if raw: try: inner = json.loads(raw) if isinstance(raw, str) else dict(raw) except (json.JSONDecodeError, TypeError, ValueError): return {"source": SRC_RISK_SELL, "msg_id": msg_id, "ts_code": "", "action": "", "confidence": 0.0, "parse_error": "内层 data JSON 解析失败", "reason": "", "dominant_signal": ""} return {"source": SRC_RISK_SELL, "msg_id": msg_id, "ts_code": (inner.get("ts_code") or "").strip(), "action": (inner.get("action") or "").strip().upper(), "confidence": _norm_conf(inner.get("confidence")), "dominant_signal": inner.get("dominant_signal") or "", "reason": (inner.get("llm_reason") or inner.get("reason") or "")[:500], "suggested_price": _num(inner.get("suggested_price")) or None} def digest(signal: dict, position: dict, params: dict) -> dict: """一条信号 → 一个消化结论。 position: PMS 账本里这只票的快照 (无持仓传 None 或 total_qty=0) params: {sell_conf_min, auto_exit_conf, trim_ratio} 返回 {"action": EXIT|PROPOSE|RECORD|IGNORE, "qty", "reason", "hard_numbers"} """ code = (signal or {}).get("ts_code") or "" act = (signal or {}).get("action") or "" conf = _num((signal or {}).get("confidence")) hard = {"source": signal.get("source"), "confidence": round(conf, 4), "dominant_signal": signal.get("dominant_signal"), "minute_qrs": signal.get("minute_qrs")} if not code: return _r(ACT_IGNORE, 0, "信号缺少股票代码", hard) if act != "SELL": # 买入/持有类信号不产生动作 —— 买什么买多少由 PMS 的命令与动作引擎决定 return _r(ACT_RECORD, 0, f"{act or '未知'} 信号仅作择时参考留痕, PMS 不据此买入", hard) held = int((position or {}).get("total_qty") or 0) if held <= 0: return _r(ACT_IGNORE, 0, "未持有该票, 卖出信号无对象", hard) conf_min = _num(params.get("sell_conf_min"), 0.75) auto_conf = _num(params.get("auto_exit_conf"), 0.85) if conf < conf_min: return _r(ACT_IGNORE, 0, f"置信度 {conf:.0%} < 消化门槛 {conf_min:.0%}, 不动", hard) avail = int((position or {}).get("avail_qty") or 0) hard.update({"total_qty": held, "avail_qty": avail}) why = signal.get("reason") or signal.get("dominant_signal") or "决策系统风控卖出" if conf >= auto_conf: # 高置信风控卖出 = 清仓。减持方向不设确认门槛 (与保垫减仓同一口径) return _r(ACT_EXIT, held, f"风控 SELL 置信度 {conf:.0%} ≥ {auto_conf:.0%}, 清仓 {held} 股 —— {why}", hard) ratio = _num(params.get("trim_ratio"), 1 / 3) # 四舍五入到一手, 不用向下取整: 配置里写 0.3333 还是 1/3 不该让 3000 股的三分之一 # 一会儿算成 1000 一会儿算成 900。不足一手时退化为全卖 (一手是最小可操作单位)。 qty = int(round(held * ratio / 100)) * 100 if qty <= 0: qty = held return _r(ACT_PROPOSE, qty, f"风控 SELL 置信度 {conf:.0%} 介于 {conf_min:.0%}~{auto_conf:.0%}, " f"提议减 {qty} 股待确认 —— {why}", hard) def _r(action, qty, reason, hard): return {"action": action, "qty": int(qty), "reason": reason, "hard_numbers": hard} def dedup_key(signal: dict, ymd) -> str: """当日去重键: 同一只票、同一来源、同一动作, 一天只消化一次。""" return f"{ymd}:{signal.get('source')}:{signal.get('ts_code')}:{signal.get('action')}"