知微
127 lines
4.3 KiB
Python
127 lines
4.3 KiB
Python
#!/usr/bin/env python3
|
|
"""
|
|
branch_scanner.py — 分支自成长数据采集器（全静默）
|
|
|
|
核心功能（三件事，全部后台静默执行）：
|
|
1. 每轮扫描42只股票，评估当前情景下各分支的适用性
|
|
2. 适用分支 → trigger_count + 1，记录 last_triggered
|
|
3. 保存当前状态到 scanner_state.json 供下次对比
|
|
|
|
无输出 → 静默运行。触发数据积累在 decisions.json。
|
|
操作信号由 stale_push_wlin / price_monitor / 开盘收盘简报 另路输出。
|
|
|
|
数据流向（自成长）：每15分钟branch_scanner积累trigger_count →
|
|
每日prune_branches评估低效分支 → decisions.json修剪 → 分支越来越有效
|
|
"""
|
|
|
|
import json, sys, re
|
|
from datetime import datetime
|
|
from urllib.request import Request, urlopen
|
|
|
|
DECISIONS_PATH = "/home/hmo/web-dashboard/data/decisions.json"
|
|
SCANNER_STATE = "/home/hmo/web-dashboard/data/scanner_state.json"
|
|
|
|
|
|
def get_price(code):
|
|
# DB 优先
|
|
try: from mofin_db import get_price_from_db; p, _ = get_price_from_db(code); return p if p else 0
|
|
except: pass
|
|
# Fallback: 腾讯
|
|
mkt = "sh" if code.startswith("6") or code.startswith("5") else "sz"
|
|
url = f"http://qt.gtimg.cn/q={mkt}{code}"
|
|
req = Request(url, headers={"User-Agent": "Mozilla/5.0"})
|
|
try:
|
|
resp = urlopen(req, timeout=5).read().decode("gbk")
|
|
parts = resp.split("~")
|
|
if len(parts) > 3:
|
|
return float(parts[3])
|
|
except Exception:
|
|
return None
|
|
|
|
|
|
def get_scenario():
|
|
try:
|
|
sys.path.insert(0, "/home/hmo/MoFin")
|
|
from strategy_tree import detect_scenario
|
|
return detect_scenario()
|
|
except Exception:
|
|
return {"id": "unknown", "label": "未知", "confidence": 0}
|
|
|
|
|
|
def check_condition(branch, scenario_id, price):
|
|
cond = branch.get("condition", {})
|
|
required_scenario = cond.get("scenario", "")
|
|
if required_scenario and required_scenario != scenario_id:
|
|
return False
|
|
price_cond = cond.get("price", "")
|
|
if price_cond and price:
|
|
ops = re.findall(r"([<>=!]+)\s*([\d.]+)", price_cond)
|
|
for op, val_str in ops:
|
|
val = float(val_str)
|
|
if op == "<" and not (price < val): return False
|
|
if op == ">" and not (price > val): return False
|
|
if op == "<=" and not (price <= val): return False
|
|
if op == ">=" and not (price >= val): return False
|
|
price_lower = cond.get("price_lower", "")
|
|
if price_lower and price:
|
|
ops = re.findall(r"([<>=!]+)\s*([\d.]+)", price_lower)
|
|
for op, val_str in ops:
|
|
val = float(val_str)
|
|
if op == "<" and not (price < val): return False
|
|
if op == ">" and not (price > val): return False
|
|
if op == "<=" and not (price <= val): return False
|
|
if op == ">=" and not (price >= val): return False
|
|
return True
|
|
|
|
|
|
def main():
|
|
now = datetime.now()
|
|
if now.hour < 9 or now.hour > 16:
|
|
return 0
|
|
|
|
scenario = get_scenario()
|
|
sid = scenario.get("id", "unknown")
|
|
|
|
with open(DECISIONS_PATH) as f:
|
|
data = json.load(f)
|
|
decisions = data.get("decisions", [])
|
|
|
|
for entry in decisions:
|
|
code = entry.get("code", "")
|
|
tree = entry.get("strategy_tree", {})
|
|
branches = tree.get("branches", [])
|
|
if not branches:
|
|
continue
|
|
price = get_price(code)
|
|
if not price:
|
|
continue
|
|
for br in sorted(branches, key=lambda b: b.get("priority", 999)):
|
|
if check_condition(br, sid, price):
|
|
br["trigger_count"] = br.get("trigger_count", 0) + 1
|
|
br["last_triggered"] = now.strftime("%Y-%m-%d")
|
|
break
|
|
|
|
with open(DECISIONS_PATH, "w") as f:
|
|
json.dump(data, f, indent=2, ensure_ascii=False)
|
|
|
|
# 更新状态快照
|
|
state = {"scenario": sid, "updated_at": now.isoformat(), "branches": {}}
|
|
for e in decisions:
|
|
code = e.get("code", "")
|
|
tree = e.get("strategy_tree", {})
|
|
for br in sorted(tree.get("branches", []), key=lambda b: b.get("priority", 999)):
|
|
if check_condition(br, sid, get_price(code)):
|
|
state["branches"][code] = br.get("id", "")
|
|
break
|
|
try:
|
|
with open(SCANNER_STATE, "w") as f:
|
|
json.dump(state, f, indent=2)
|
|
except Exception:
|
|
pass
|
|
|
|
return 0
|
|
|
|
|
|
if __name__ == "__main__":
|
|
sys.exit(main())
|