知微
102a64d856
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
84 lines
2.6 KiB
Python
Executable File
84 lines
2.6 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
"""
|
|
prune_branches.py — 分支剪枝引擎（每日）
|
|
|
|
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 json, sys
|
|
from datetime import datetime
|
|
|
|
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())
|