知微
173 lines
7.7 KiB
Python
173 lines
7.7 KiB
Python
#!/usr/bin/env python3
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"""
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per_stock_reassess.py — 按个股触发重评
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对每只传进来的 code 执行 reassess_strategy()，然后只更新
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decisions.json 中对应的那一条记录。不碰 portfolio.json，不跑全量。
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"""
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import sys, json, os, re
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sys.path.insert(0, "/home/hmo/web-dashboard")
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from strategy_lifecycle import reassess_with_context as reassess_strategy
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DECISIONS_PATH = "/home/hmo/web-dashboard/data/decisions.json"
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def main():
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codes = [a for a in sys.argv[1:] if not a.startswith("-")]
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if not codes:
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print("[FULL] 无指定编码，跑全量 regenerate_all()")
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from strategy_lifecycle import regenerate_all
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regenerate_all(stdout=False)
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print("[FULL] 全量重评完成")
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return
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# 读现有 decisions
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with open(DECISIONS_PATH) as f:
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raw = json.load(f)
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decisions_map = {d["code"]: d for d in raw.get("decisions", []) if d.get("code")}
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ok = 0
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errors = 0
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skipped = 0
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for code in codes:
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entry = decisions_map.get(code)
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if not entry:
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print(f"[SKIP] {code}: 不在 decisions.json 中")
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errors += 1
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continue
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try:
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# Always fetch live price for accurate reassessment
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price = 0
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try:
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import urllib.request
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code_raw = entry.get("code", "")
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sym_map = {"6":"sh","5":"sh","0":"sz","3":"sz"}
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prefix = ""
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for k, v in sym_map.items():
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if code_raw.startswith(k):
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prefix = v
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break
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if not prefix:
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prefix = "hk" if len(code_raw) == 5 else "sz"
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url = f"http://qt.gtimg.cn/q={prefix}{code_raw}"
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resp = urllib.request.urlopen(url, timeout=5)
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text = resp.read().decode("gbk")
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fields = text.split('"')[1].split("~")
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price = float(fields[3]) if fields[3] else 0
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# 港股：腾讯API返回HKD，统一转CNY
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if len(code_raw) == 5 and code_raw[0] in '01':
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try:
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sys.path.insert(0, '/home/hmo/MoFin')
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from hk_rate import hkd_to_cny
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_hkd_rate = hkd_to_cny()
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except Exception:
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_hkd_rate = 0.87
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price = round(price * _hkd_rate, 2)
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print(f" 实时价: {price} {'(CNY)' if len(code_raw) == 5 and code_raw[0] in '01' else ''}")
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except Exception as e:
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print(f" 实时价获取失败: {e}", file=sys.stderr)
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# Try portfolio.json as fallback (price_monitor keeps live prices)
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try:
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with open("/home/hmo/web-dashboard/data/portfolio.json") as _pf:
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_pf_data = json.load(_pf)
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for _h in _pf_data.get("holdings", []):
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if _h["code"] == code_raw:
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price = float(_h.get("price", 0))
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print(f" 从portfolio.json取实时价: {price}")
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break
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except Exception:
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pass
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if price == 0:
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price = entry.get("current_price") or entry.get("price") or 0
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print(f" fallback到存储价: {price}", file=sys.stderr)
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# Price diff debounce: skip reassessment if price changed < 1% since last update
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last_price = entry.get("last_reassessed_price", 0)
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if last_price > 0 and price > 0:
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diff_pct = abs(price - last_price) / last_price * 100
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if diff_pct < 1.0:
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print(f" 价差仅{diff_pct:.2f}% (<1%)，跳过重评（上次价={last_price}，现价={price}）")
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skipped += 1
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continue
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result = reassess_strategy(
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code=code,
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name=entry.get("name", ""),
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price=price,
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cost=entry.get("cost", 0),
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shares=entry.get("shares", 0),
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current_action=entry.get("action", ""),
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is_watchlist=entry.get("type", "") in ("自选策略", "watchlist"),
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)
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if result and result.get("action"):
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# 持仓股止损不下移（移动止损规则）：已有仓位的止损只上不下
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is_held = entry.get("cost", 0) > 0 and entry.get("shares", 0) > 0 and \
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entry.get("type", "") not in ("自选策略", "watchlist")
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old_stop = entry.get("stop_loss", 0)
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new_stop = result.get("stop_loss", 0)
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if is_held and old_stop > 0 and new_stop > 0 and new_stop < old_stop:
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print(f" 移动止损保护: {new_stop}→保持{old_stop} (持仓止损不下移)")
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result["stop_loss"] = old_stop
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# 同时更新 action 字符串中的止损值
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act = result.get("action", "")
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if act:
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act = re.sub(r'止损[\d.]+', f'止损{old_stop}', act)
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result["action"] = act
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# 更新 decisions_map 中对应的条目
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updated = entry.copy()
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updated.update({
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"action": result["action"],
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"stop_loss": result.get("stop_loss", entry.get("stop_loss")),
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"entry_low": result.get("entry_low", entry.get("entry_low")),
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"entry_high": result.get("entry_high", entry.get("entry_high")),
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"take_profit": result.get("take_profit"),
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"tech_snapshot": result.get("tech_snapshot", entry.get("tech_snapshot")),
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"timing_signal": result.get("timing_signal", entry.get("timing_signal")),
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"rr_ratio": result.get("rr_ratio", entry.get("rr_ratio", 0)),
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"status": result.get("status", "updated"),
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"price": price,
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})
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# Save last reassessed price for debounce tracking
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updated["last_reassessed_price"] = price
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decisions_map[code] = updated
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# ——— 初始化多分支策略树 ———
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try:
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sys.path.insert(0, '/home/hmo/MoFin')
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from strategy_tree import init_default_branches
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branches = init_default_branches(
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code,
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entry.get('name', ''),
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result.get('entry_low', 0),
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result.get('entry_high', 0),
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result.get('stop_loss', 0),
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result.get('take_profit', 0),
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)
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st = updated.setdefault('strategy_tree', {})
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st['branches'] = branches
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except Exception:
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pass
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print(f"[OK] {code} {entry.get('name','')}: {result['action'][:80]}")
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ok += 1
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else:
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print(f"[SYNCED] {code}: 无变更")
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ok += 1
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except Exception as e:
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print(f"[ERROR] {code}: {e}", file=sys.stderr)
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errors += 1
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# 写回 decisions.json（只更新被修改的那条，其余保留原样）
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raw["decisions"] = list(decisions_map.values())
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raw["total"] = len(raw["decisions"])
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from datetime import datetime
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raw["regenerated_at"] = datetime.now().strftime("%Y-%m-%d %H:%M")
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with open(DECISIONS_PATH, "w") as f:
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json.dump(raw, f, ensure_ascii=False, indent=2)
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print(f"[DONE] {ok}成功 {skipped}跳过 {errors}失败")
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if __name__ == "__main__":
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main()
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