自成长：分支评估+剪枝+报告接入

补齐「顺势而为 环境预判 策略多分枝」体系中缺失的组件：

branch_evaluator.py（新增）— 每30min评估所有策略树分支
  1. detect_scenario() 获取当前宏观情景
  2. 对42只股票评估哪个分支当前适用
  3. 适用分支 trigger_count+1, last_triggered=now
  4. 触发>=3次且成功率<30%→标记pruning_candidate
  5. 无决策树的股票自动初始化（init_default_branches）

prune_branches.py（新增）— 每日16:30收盘后剪枝
  阈值：触发>=3次且成功率<30%→裁掉并归档到pruned_branches
  Dad说「每周太低频」→改为每日

stale_push_wlin.py（修改）— 报告每只股增加分支行：
  【弱势震荡→buy_dip】价格回调到支撑区，弱势市场低吸

cron更新：
  分支扫描(b809fcabfa5b) → 指向branch_evaluator.py, 每30min
  剪枝(a3697c108c7b) → 指向prune_branches.py, 每日16:30

自成长核心：branch_evaluator 运行时自动发现并初始化无策略树股票,
252个分支已生成, trigger_count已开始累积, 反馈循环上线

scripts/prune_branches.py

@@ -1,21 +1,83 @@
 #!/usr/bin/env python3
 """
-prune_branches.py — 每周六凌晨6点执行
+prune_branches.py — 分支剪枝引擎（每日）
 
-低效分支剪枝：
-- 触发≥5次且成功率<30% → 剪枝归档
-- 输出报告（stdout → cron delivery）
+裁掉低效分支：trigger_count ≥ 3 且 success_rate < 30%
+被剪的分支从 strategy_tree.branches 移除，归档到 strategy_tree.pruned_branches
+
+Dad说"每周"太低频 → 改为每日16:30（收盘后）
 """
-import sys, json
-sys.path.insert(0, '/home/hmo/MoFin')
-from strategy_tree import prune_low_performance_branches
 
-result = prune_low_performance_branches(min_triggers=5, min_success_rate=0.3)
+import json, sys
+from datetime import datetime
 
-if result:
-    print(f"[分支剪枝] 已剪枝 {len(result)} 条低效分支：")
-    for item in result:
-        print(f"  ✂ {item}")
-    print("[分支剪枝] 剪枝完成")
-else:
-    print("[分支剪枝] 无低效分支需剪枝")
+DECISIONS_PATH = "/home/hmo/web-dashboard/data/decisions.json"
+
+# 剪枝阈值：触发≥3次且成功率<30%
+TRIGGER_MIN = 3
+SUCCESS_MAX = 30
+
+
+def prune():
+    try:
+        with open(DECISIONS_PATH) as f:
+            data = json.load(f)
+    except Exception as e:
+        print(f"[错误] 读 decisions.json 失败: {e}", file=sys.stderr)
+        return 1
+
+    decisions = data.get("decisions", [])
+    total_pruned = 0
+    results = []
+
+    for entry in decisions:
+        code = entry.get("code", "")
+        tree = entry.get("strategy_tree")
+        if not tree:
+            continue
+        branches = tree.get("branches", [])
+        if not branches:
+            continue
+
+        pruned_branches = tree.get("pruned_branches", [])
+        kept = []
+        for br in branches:
+            tc = br.get("trigger_count", 0)
+            sr = br.get("success_rate")
+            if tc >= TRIGGER_MIN and sr is not None and sr < SUCCESS_MAX:
+                # 归档
+                br["pruned_at"] = datetime.now().isoformat()
+                pruned_branches.append(br)
+                total_pruned += 1
+                results.append({
+                    "code": code,
+                    "branch_id": br.get("id", "?"),
+                    "trigger_count": tc,
+                    "success_rate": sr,
+                    "rationale": br.get("rationale", ""),
+                })
+            else:
+                kept.append(br)
+
+        tree["branches"] = kept
+        tree["pruned_branches"] = pruned_branches
+        tree["last_pruned"] = datetime.now().isoformat() if total_pruned > 0 else tree.get("last_pruned", "")
+
+    with open(DECISIONS_PATH, "w") as f:
+        json.dump(data, f, indent=2, ensure_ascii=False)
+
+    if total_pruned > 0:
+        lines = [f"【分支剪枝】本次裁掉{total_pruned}个低效分支"]
+        for r in results:
+            lines.append(f"  ✂ {r['code']}/{r['branch_id']}(触发{r['trigger_count']}次/成功率{r['success_rate']}%)")
+            lines.append(f"    理由: {r['rationale']}")
+        print("\n".join(lines))
+        return 0
+    else:
+        # 静默
+        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）")
+        return 0
+
+
+if __name__ == "__main__":
+    sys.exit(prune())