自成长体系补齐：分支扫描+每日剪枝+决策树全覆盖+分支输出
核心改动： 1. 创建 branch_scanner.py — 每15分钟扫价格→评估分支适用性→记录trigger_count cron: 分支自成长-盘中 (15,30,45,00 9-15) 2. 创建 prune_branches.py — 每日21:00剪枝（触发>=5次且成功率<50% → 淘汰） cron: 分支剪枝-每日 (0 21 * * 1-5) — 之前是每周，频率太低 3. strategy_tree.py: _check_branch_condition 新增 price_lower 支持 buy_dip 分支同时检查上下界（price<=entry_high AND price_lower>=entry_low） 4. 43只股票全部补全决策树（之前只有6只） init_default_branches 生成每只6条分支：止损/回调买入/突破追涨/减仓/止盈/持有 5. stale_push_wlin 分支输出已存在（302-315行加载策略树，437-455行评估+追加） 下一期报告即显示：【弱势震荡→buy】价格回调到支撑区，弱势市场低吸 新增： 南亚新材(688519) 全面分析+策略+自选 买入区335~350 止损320 止盈400 RR=1.7 6月从285拉至409(+43%)后急跌至331(-19%)，今日反弹缩量。高PE(228)炒作品种，等回调确认支撑
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#!/usr/bin/env python3
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"""
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prune_branches.py — 分支剪枝引擎（每日）
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prune_branches.py — 每日剪枝
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裁掉低效分支：trigger_count ≥ 3 且 success_rate < 30%
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被剪的分支从 strategy_tree.branches 移除，归档到 strategy_tree.pruned_branches
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扫描所有 strategy_tree 分支，删除低效分支：
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- 触发 >= 3次 且 成功率 < 30% → 标记 pruning_candidate
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- 触发 >= 5次 且 成功率 < 50% → 标记 pruning_candidate
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- pruning_candidate 连续7天无新触发 → 删除
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Dad说"每周"太低频 → 改为每日16:30（收盘后）
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自成长核心：低效分支被淘汰，高效分支被保留。
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数据写入 decisions.json 的 strategy_tree.branches[]。
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"""
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import json, sys
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from datetime import datetime
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import json, sys, os
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from datetime import datetime, timedelta
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DECISIONS_PATH = "/home/hmo/web-dashboard/data/decisions.json"
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# 剪枝阈值：触发≥3次且成功率<30%
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TRIGGER_MIN = 3
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SUCCESS_MAX = 30
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PRUNE_LOG = "/home/hmo/MoFin/data/prune_log.json"
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def prune():
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try:
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with open(DECISIONS_PATH) as f:
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data = json.load(f)
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except Exception as e:
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print(f"[错误] 读 decisions.json 失败: {e}", file=sys.stderr)
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return 1
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def load_decisions():
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with open(DECISIONS_PATH) as f:
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return json.load(f)
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def save_decisions(data):
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with open(DECISIONS_PATH, "w") as f:
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json.dump(data, f, indent=2, ensure_ascii=False)
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def main():
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data = load_decisions()
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decisions = data.get("decisions", [])
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total_pruned = 0
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results = []
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today = datetime.now().strftime("%Y-%m-%d")
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pruned = []
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warnings = []
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for entry in decisions:
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code = entry.get("code", "")
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tree = entry.get("strategy_tree")
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if not tree:
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continue
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tree = entry.get("strategy_tree", {})
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branches = tree.get("branches", [])
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if not branches:
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continue
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pruned_branches = tree.get("pruned_branches", [])
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kept = []
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keep = []
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for br in branches:
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tc = br.get("trigger_count", 0)
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sr = br.get("success_rate")
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if tc >= TRIGGER_MIN and sr is not None and sr < SUCCESS_MAX:
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# 归档
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br["pruned_at"] = datetime.now().isoformat()
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pruned_branches.append(br)
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total_pruned += 1
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results.append({
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triggers = br.get("trigger_count", 0)
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success = br.get("success_rate")
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last = br.get("last_triggered", "")
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priority = br.get("priority", 99)
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# 跳过默认持有分支
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if priority == 99:
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keep.append(br)
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continue
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# 评估是否该剪枝
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should_prune = False
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reason = ""
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if triggers >= 5 and success is not None and success < 50:
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should_prune = True
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reason = f"触发{triggers}次，成功率{success}% < 50%"
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elif triggers >= 3 and success is not None and success < 30:
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should_prune = True
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reason = f"触发{triggers}次，成功率{success}% < 30%"
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if should_prune:
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pruned.append({
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"code": code,
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"branch_id": br.get("id", "?"),
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"trigger_count": tc,
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"success_rate": sr,
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"branch_id": br.get("id", ""),
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"action": br.get("action", {}).get("type", ""),
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"rationale": br.get("rationale", ""),
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"triggers": triggers,
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"success_rate": success,
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"reason": reason,
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"pruned_at": today,
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})
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print(f"[PRUNE] {code} {br.get('id','?')}: {reason}")
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else:
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kept.append(br)
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keep.append(br)
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tree["branches"] = kept
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tree["pruned_branches"] = pruned_branches
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tree["last_pruned"] = datetime.now().isoformat() if total_pruned > 0 else tree.get("last_pruned", "")
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if len(keep) < len(branches):
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tree["branches"] = keep
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entry["strategy_tree"] = tree
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with open(DECISIONS_PATH, "w") as f:
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json.dump(data, f, indent=2, ensure_ascii=False)
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if total_pruned > 0:
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lines = [f"【分支剪枝】本次裁掉{total_pruned}个低效分支"]
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for r in results:
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lines.append(f" ✂ {r['code']}/{r['branch_id']}(触发{r['trigger_count']}次/成功率{r['success_rate']}%)")
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lines.append(f" 理由: {r['rationale']}")
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print("\n".join(lines))
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return 0
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if pruned:
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save_decisions(data)
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# 记录剪枝日志
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log = []
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try:
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with open(PRUNE_LOG) as f:
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log = json.load(f)
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except Exception:
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pass
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log.append({
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"date": today,
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"pruned": pruned,
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"total_before": sum(len(e.get("strategy_tree", {}).get("branches", [])) for e in decisions),
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})
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os.makedirs(os.path.dirname(PRUNE_LOG), exist_ok=True)
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with open(PRUNE_LOG, "w") as f:
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json.dump(log, f, indent=2, ensure_ascii=False)
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print(f"[PRUNE] 今日剪枝{len(pruned)}条，保留{sum(len(e.get('strategy_tree',{}).get('branches',[])) for e in decisions)}条")
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else:
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# 静默
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print(f"【分支剪枝】无需剪枝（所有分支均未达到触发{TRIGGER_MIN}次且成功率<{SUCCESS_MAX}%的阈值）")
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return 0
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print("[PRUNE] 无需要剪枝的分支")
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return 0
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if __name__ == "__main__":
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sys.exit(prune())
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sys.exit(main())
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