feat: 统一部署目录——所有运行时文件归入MoFin repo

- deploy/bot/ — XMPP bot核心(xmpp_agent_core + xmpp_zhiwei_bot)
- deploy/profile-scripts/ — cron脚本(price_monitor等)
- 运行时文件已替换为指向MoFin的符号链接
- 改代码只需改MoFin,系统自动生效
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知微
2026-07-17 23:12:35 +08:00
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#!/usr/bin/env python3
"""price_monitor.py — 高频价格监控脚本(批量版)
规则:进入区间报一次,离开区间报一次,中间不重复。
每次运行时一次性刷新所有持仓+自选股的实时价。
"""
import urllib.request
import os, sys, time, json
import sqlite3
from datetime import datetime
from mo_data import read_decisions
BREACH_PATH = "/home/hmo/.hermes/zone_breach.json"
STATE_PATH = "/home/hmo/.hermes/price_trigger_state.json"
EVENTS_PATH = "/home/hmo/web-dashboard/data/price_events.json"
# DB 模块(同步实时价到 mofin.db)
sys.path.insert(0, "/home/hmo/MoFin")
try:
from mofin_db import get_conn, DB_PATH
from mo_models import calc_total_mv, calc_total_assets
HAS_DB = True
except ImportError:
HAS_DB = False
# 策略重评依赖(技术面驱动,非机械百分比)
sys.path.insert(0, "/home/hmo/web-dashboard")
try:
from strategy_lifecycle import reassess_strategy, reassess_with_context
HAS_REASSESS = True
except ImportError:
HAS_REASSESS = False
UA = "Mozilla/5.0"
# ── XMPP推送 ──────────────────────────────────────────────────────────
XMPP_USER = "hmo@yoin.fun"
XMPP_BRIDGE = "http://127.0.0.1:5805/"
def push_to_xmpp(text):
"""通过知微 HTTP bridge 推送到Dad私信"""
if not text.strip():
return
try:
payload = json.dumps({
"to": XMPP_USER,
"body": text.strip(),
"type": "chat",
}).encode("utf-8")
req = urllib.request.Request(XMPP_BRIDGE, data=payload, headers={"Content-Type": "application/json"})
urllib.request.urlopen(req, timeout=5)
except Exception as e:
print(f"[XMPP推送失败] {e}", file=sys.stderr)
# ── 批量拉取价格 ──────────────────────────────────────────────────────────
def fetch_all_prices(codes):
"""腾讯批量行情API:一次请求拉取所有股票(A股+港股)
A股:sh600110 / sz000001
港股:hk00700
返回 {code: (price, change, change_pct)}
"""
if not codes:
return {}
# 构建批量查询串
symbols = []
code_map = {} # symbol -> original_code
for code in codes:
code_s = str(code).strip()
if len(code_s) == 6:
# A股:沪市以5/6/9开头,深市以0/3开头
if code_s.startswith(('5', '6', '9')):
sym = f"sh{code_s}"
else:
sym = f"sz{code_s}"
else:
sym = f"hk{code_s}"
symbols.append(sym)
code_map[sym] = code_s
url = f"http://qt.gtimg.cn/q={','.join(symbols)}"
try:
req = urllib.request.Request(url, headers={"User-Agent": UA})
with urllib.request.urlopen(req, timeout=10) as r:
text = r.read().decode("gbk")
except Exception as e:
print(f"⚠️ 批量拉取失败: {e}", file=sys.stderr)
return {}
results = {}
for line in text.strip().split("\n"):
line = line.strip()
if not line or "=" not in line:
continue
try:
# 格式: v_sh600110="1~诺德股份~600110~11.84~11.90~..."
raw_value = line.split("=", 1)[1].strip().strip('"').strip(";")
fields = raw_value.split("~")
if len(fields) < 6:
continue
sym = line.split("=", 1)[0].strip().lstrip("v_")
orig_code = code_map.get(sym)
if not orig_code:
continue
price = float(fields[3]) if fields[3] else 0
prev_close = float(fields[4]) if fields[4] else 0
change = price - prev_close if prev_close > 0 else 0
change_pct = fields[32] if len(fields) > 32 and fields[32] else "0"
results[orig_code] = (price, change, change_pct)
except (ValueError, IndexError):
continue
return results
def refresh_data_prices():
"""一次性刷新所有持仓+自选股的实时价(完全DB版,不写JSON)"""
all_codes = set()
# 从DB读所有需要拉取价格的代码
try:
conn = get_conn()
for r in conn.execute("SELECT code FROM holdings WHERE is_active=1"):
all_codes.add(r['code'])
for r in conn.execute("SELECT code FROM watchlist_stocks"):
all_codes.add(r['code'])
for r in conn.execute("SELECT code FROM holding_strategies WHERE status='active'"):
all_codes.add(r['code'])
conn.close()
except Exception as e:
print(f"⚠️ 从DB读代码失败: {e}", file=sys.stderr)
return 0
if not all_codes:
return 0
# 一次性批量拉取
prices = fetch_all_prices(list(all_codes))
updated = len(prices)
# === 弹性同步实时价到 mofin.db ===
# 防死锁策略(经2026-07-14 WAL死锁复盘改进):
# ① 启动时 checkpoint WAL(清理残留事务)
# ② 统一 BEGIN IMMEDIATE 包裹整个写操作
# ③ 5次重试 + 指数退避: 1s → 2s → 4s → 8s → 16s(共~31s
# ④ get_conn() 的 busy_timeout=30000 保证等待上限
# ⑤ 每个写操作检查返回值,任一失败立即 rollback + 重试
# ⑥ try/finally 确保连接始终释放
if HAS_DB and prices:
# 先checkpoint一次,清理上次被kill残留的WAL
try:
c = get_conn()
c.execute("PRAGMA wal_checkpoint(TRUNCATE)")
c.close()
except Exception:
pass
max_tries = 5
conn = None
for db_attempt in range(max_tries):
try:
conn = get_conn()
# BEGIN IMMEDIATE 立即获取写锁——失败则等 busy_timeout(30s)
conn.execute("BEGIN IMMEDIATE")
# ── 构建 holdings 更新数据 ──
db_holdings = []
for r in conn.execute("SELECT * FROM holdings WHERE is_active=1"):
h = dict(r)
code = str(h.get('code', ''))
if code in prices:
price_val, _, change_pct = prices[code]
if price_val > 0:
h['price'] = round(price_val, 2)
h['change_pct'] = float(change_pct) if change_pct else 0
db_holdings.append(h)
# ── 写 holdings 表 ──
for h in db_holdings:
currency = str(h.get('currency', 'CNY')).upper()
if currency not in ('CNY', 'HKD'):
raise ValueError(f"非法币种: {currency}")
conn.execute("""
INSERT INTO holdings (code, name, shares, cost, price, market_value,
change_pct, currency, position_pct, added_at, is_active)
VALUES (?,?,?,?,?,?,?,?,?,datetime('now','localtime'),1)
ON CONFLICT(code) DO UPDATE SET
name=excluded.name, shares=excluded.shares, cost=excluded.cost,
price=excluded.price, market_value=excluded.market_value,
change_pct=excluded.change_pct, currency=excluded.currency,
position_pct=excluded.position_pct
""", (
h.get('code'), h.get('name'), h.get('shares', 0),
h.get('cost'), h.get('price'),
h.get('market_value'), h.get('change_pct'),
h.get('currency', 'CNY'), h.get('position_pct'),
))
# ── 写 portfolio_summary ──
mv = calc_total_mv(db_holdings)
existing = conn.execute(
'SELECT cash, frozen_cash FROM portfolio_summary WHERE id=1'
).fetchone()
db_cash = existing['cash'] if existing else 0.0
db_frozen = existing['frozen_cash'] if existing else 0.0
assets = calc_total_assets({'holdings': db_holdings, 'cash': db_cash, 'frozen_cash': db_frozen})
position_pct = round(mv / assets * 100, 2) if assets > 0 else 0
conn.execute("""
INSERT INTO portfolio_summary (id, total_assets, total_mv, stock_value,
cash, frozen_cash, position_pct, total_pnl, currency, updated_at)
VALUES (1,?,?,?,?,?,?,?,?,datetime('now','localtime'))
ON CONFLICT(id) DO UPDATE SET
total_assets=excluded.total_assets, total_mv=excluded.total_mv,
stock_value=excluded.stock_value, cash=excluded.cash,
frozen_cash=excluded.frozen_cash, position_pct=excluded.position_pct,
total_pnl=excluded.total_pnl, currency=excluded.currency,
updated_at=datetime('now','localtime')
""", (
assets, mv, mv, db_cash, db_frozen,
position_pct, 0, 'CNY',
))
# ── 写 live_prices ──
for h in db_holdings:
code = h.get('code', '')
if code:
p = h.get('price', 0)
cp = h.get('change_pct', 0)
conn.execute(
"INSERT OR REPLACE INTO live_prices (code, price, change_pct, updated_at) "
"VALUES (?,?,?,datetime('now','localtime'))",
(code, p, cp)
)
# 补充策略股/自选股的价格(不在holdings中的)
for code, pdata in prices.items():
if code not in {h.get('code') for h in db_holdings}:
price_val = pdata[0] if isinstance(pdata, (list, tuple)) else pdata.get('price', 0)
cp_val = pdata[1] if isinstance(pdata, (list, tuple)) else pdata.get('change_pct', 0)
conn.execute(
"INSERT OR REPLACE INTO live_prices (code, price, change_pct, updated_at) "
"VALUES (?,?,?,datetime('now','localtime'))",
(code, price_val, cp_val)
)
conn.commit()
conn.close()
conn = None
if db_attempt > 0:
print(f"DB同步成功(第{db_attempt+1}次重试)")
break # success
except (sqlite3.OperationalError, sqlite3.DatabaseError) as e:
if conn:
try: conn.rollback()
except Exception: pass
try: conn.close()
except Exception: pass
conn = None
err_str = str(e)
if "locked" in err_str or "cannot commit" in err_str or "busy" in err_str:
if db_attempt < max_tries - 1:
wait = 2 ** db_attempt # 1, 2, 4, 8, 16
print(f"⏳ DB锁(尝试{db_attempt+1}/{max_tries}): {e}{wait}s后重试", file=sys.stderr)
time.sleep(wait)
else:
print(f"❌ DB锁(重试{max_tries}次耗尽): {e}", file=sys.stderr)
else:
print(f"❌ DB错误: {e}", file=sys.stderr)
break
except Exception as e:
if conn:
try: conn.rollback()
except Exception: pass
try: conn.close()
except Exception: pass
conn = None
print(f"⚠️ DB同步异常: {e}", file=sys.stderr)
break
else:
# for-else: loop exhausted without break
print("❌ DB同步失败(所有重试耗尽)", file=sys.stderr)
# 尝试紧急 WAL checkpoint(释放死锁)
try:
c = sqlite3.connect(str(DB_PATH), timeout=1)
c.execute("PRAGMA wal_checkpoint(TRUNCATE)")
c.close()
print(" ↪ 紧急WAL checkpoint完成", file=sys.stderr)
except Exception as we:
print(f" ↪ WAL checkpoint也失败: {we}", file=sys.stderr)
return updated
# ── 区间偏离检测 ──────────────────────────────────────────────────────────
def load_state():
try:
with open(STATE_PATH) as f:
return json.load(f)
except:
return {}
def save_state(state):
os.makedirs(os.path.dirname(STATE_PATH), exist_ok=True)
with open(STATE_PATH, 'w') as f:
json.dump(state, f, ensure_ascii=False, indent=2)
def load_breaches():
try:
with open(BREACH_PATH) as f:
return json.load(f)
except:
return {}
def save_breaches(data):
os.makedirs(os.path.dirname(BREACH_PATH), exist_ok=True)
with open(BREACH_PATH, 'w') as f:
json.dump(data, f, ensure_ascii=False, indent=2)
def load_events():
try:
with open(EVENTS_PATH) as f:
return json.load(f)
except:
return {"events": []}
def save_events(events):
os.makedirs(os.path.dirname(EVENTS_PATH), exist_ok=True)
with open(EVENTS_PATH, 'w') as f:
json.dump(events, f, ensure_ascii=False, indent=2)
def record_event(code, name, event_type, price, trigger_value, event_label=""):
"""记录一次价格触发事件到 price_events.json"""
events = load_events()
now = datetime.now().isoformat()
events["events"].append({
"code": code,
"name": name,
"event_type": event_type, # entry_zone, stop_loss, take_profit, exit_zone
"price": round(price, 2),
"trigger_value": trigger_value,
"event_label": event_label,
"timestamp": now,
"date": datetime.now().strftime("%Y-%m-%d"),
})
# 保留最近10000条
events["events"] = events["events"][-10000:]
save_events(events)
def get_trigger_zones(trigger):
"""返回该trigger所有可监控的区间列表,跳过已执行的batch"""
zones = []
for key, label in [
("entry_zone", "加仓区间"),
("batch1_price", "试仓区间"),
("batch2_price", "加仓区间"),
("take_profit_zone", "止盈区间"),
("watch_low", "关注区间"),
("watch_high", "减仓区间"),
("watch_break", "止损区间")
]:
status_key = key.replace("_price", "_status")
if status_key in trigger and trigger[status_key] == "executed":
continue
val = trigger.get(key, "")
if val and "~" in val:
try:
parts = val.split("~")
lo, hi = float(parts[0]), float(parts[1])
zones.append((key, label, lo, hi))
except:
pass
sl = trigger.get("stop_loss", "")
if sl:
try:
sl_price = float(sl) if isinstance(sl, (int, float)) else float(sl)
zones.append(("stop_loss", "止损", 0, sl_price))
except:
pass
return zones
def _cleanup_lock():
"""清理进程锁文件"""
try:
os.remove("/tmp/price_monitor.lock")
except Exception:
pass
def _handle_sigterm(signum, frame):
"""收到SIGTERM时清理锁文件后退出"""
_cleanup_lock()
sys.exit(0)
def run_once(round_label=""):
"""执行一轮完整的监控流程"""
import os, signal # 必须在开头import,否则os变量会被后面的局部import绑定覆盖
signal.signal(signal.SIGTERM, _handle_sigterm)
os.nice(10) # 降低优先级,避免与DB其他写操作抢占
# ── 进程锁:同一时间只跑一个实例 ──
_lk = "/tmp/price_monitor.lock"
_pid = None
try:
with open(_lk) as _f:
_pid = int(_f.read().strip())
os.kill(_pid, 0)
print(f"[LOCK] 已有实例(PID {_pid})在运行,跳过本轮", file=sys.stderr, flush=True)
return
except (FileNotFoundError, ProcessLookupError, ValueError):
pass
with open(_lk, "w") as _f:
_f.write(str(os.getpid()))
label = f" [{round_label}]" if round_label else ""
start = time.time()
TIME_BUDGET = 90 # 预留30s给输出和清理,90s内必须完成核心逻辑
# === 第一步:一次性刷新所有价格 ===
refreshed = refresh_data_prices()
# === 第二步:检查触发条件 ===
try:
dec = read_decisions()
except:
print(f"{label} 无法读取decisions(DB)", file=sys.stderr)
return
active = [d for d in dec.get("decisions", []) if d.get("status") == "active"]
state = load_state()
outputs = []
state_updated = False
# 时间冷却:同股同区间30分钟内不重复推
_push_cooldown = {}
_cooldown_file = "/home/hmo/.hermes/.price_push_cooldown.json"
try:
import os
if os.path.exists(_cooldown_file):
with open(_cooldown_file) as _f:
_push_cooldown = json.load(_f)
except Exception:
_push_cooldown = {}
def _can_push(code, zone_key):
now = time.time()
key = f"{code}_{zone_key}"
last = _push_cooldown.get(key, 0)
if now - last < 1800: # 30分钟
return False
_push_cooldown[key] = now
# 持久化写入
try:
with open(_cooldown_file, "w") as _f:
json.dump(_push_cooldown, _f)
except Exception:
pass
return True
# 收集所有需要检查的代码
check_codes = set()
for d in active:
trig = d.get("trigger", {})
if trig:
check_codes.add(d["code"])
# 批量拉取这些股票的价格
prices = fetch_all_prices(list(check_codes))
for d in active:
code = d["code"]
trig = d.get("trigger", {})
if not trig:
continue
zones = get_trigger_zones(trig)
if not zones:
continue
price_info = prices.get(code)
if not price_info:
continue
price, _, _ = price_info
if price == 0:
continue
name = d.get("name", code)
if code not in state:
state[code] = {}
# 时间预算检查:如果超时,跳过重评只做状态记录
_budget_low = (time.time() - start) > TIME_BUDGET
for key, label, lo, hi in zones:
in_zone = lo <= price <= hi
prev_in_zone = state[code].get(key, None)
if in_zone and prev_in_zone != True:
if key == "stop_loss":
outputs.append(f"⚠️ {name}({code}) {price} → 跌破止损{hi}")
record_event(code, name, "stop_loss", price, str(hi))
# 止损触发 → 立即重评并推送给Dad(时间不够则直接推原始告警)
if _budget_low:
outputs.append(f" 📨 止损触发(超时跳过重评)→已推送Dad")
if _can_push(code, "stop_loss"):
push_to_xmpp(f"⚠️ {name}({code}) {price} → 跌破止损{hi}")
else:
try:
cost = d.get("cost", 0) or 0
shares = d.get("shares", 0) or 0
current_action = d.get("action", "")
result = reassess_with_context(code, name, price, cost, shares, current_action)
if result:
timing_signal = result.get("timing_signal", "")
action = result.get("action", "")
if "买入" in timing_signal or "加仓" in timing_signal or timing_signal in ("卖出","止盈"):
buy_lo = d.get("entry_low", 0)
buy_hi = d.get("entry_high", 0)
rr = result.get("rr_ratio", 0)
if _can_push(code, "stop_loss"):
msg = f"🔔 {name}({code}) 价{price}→触发操作区间{max(buy_lo,0):.2f}~{buy_hi:.2f},已触发重评|RR={rr}"
push_to_xmpp(msg)
outputs.append(f" 📨 止损重评→已推送Dad: {action}")
except Exception as e:
outputs.append(f" ⚠️ 止损重评失败: {e}")
else:
extra = ""
if "_price" in key:
batch_shares = trig.get(key.replace("_price", "_shares"), "")
action = trig.get(key.replace("_price", "_action"), "")
if batch_shares:
extra = f" {action}{batch_shares}" if action else f" {batch_shares}"
elif key in ("take_profit_zone",):
act = trig.get("take_profit_action", "")
if act:
extra = f"{act}"
outputs.append(f"{name}({code}) {price} → 进入{label}{lo}~{hi}{extra}")
record_event(code, name, "entry_zone", price, f"{lo}~{hi}", label)
# 进入区间 → 立即重评并推送给Dad(时间不够则跳过重评直接推原始告警)
if _budget_low:
if _can_push(code, key):
push_to_xmpp(f"{name}({code}) {price} → 进入{label}{lo}~{hi}")
outputs.append(f" 📨 区间触发(超时跳过重评)→已推送Dad")
else:
try:
cost = d.get("cost", 0) or 0
shares = d.get("shares", 0) or 0
current_action = d.get("action", "")
result = reassess_with_context(code, name, price, cost, shares, current_action)
if result:
timing_signal = result.get("timing_signal", "")
action = result.get("action", "")
# 格式化区间描述(止盈区lo=0时美化显示)
if key == "take_profit_zone" and lo == 0:
zone_desc = f"止盈监控(目标{hi:.0f})"
else:
zone_desc = f"操作区间{lo}~{hi}"
if "买入" in timing_signal or "加仓" in timing_signal or timing_signal in ("卖出","止盈"):
rr = result.get("rr_ratio", 0)
if _can_push(code, key):
msg = f"🔔 {name}({code}) 价{price}→触发{zone_desc},已触发重评|RR={rr}"
push_to_xmpp(msg)
outputs.append(f" 📨 区间触发重评→已推送Dad: {action}")
else:
reason = f"重评结果:{timing_signal},不构成操作建议"
outputs.append(f" 📋 本地日志(不推): {reason}")
except Exception as e:
outputs.append(f" ⚠️ 区间重评失败: {e}")
state[code][key] = True
state_updated = True
elif not in_zone and prev_in_zone == True:
if key != "stop_loss":
outputs.append(f"📌 {name}({code}) {price} → 离开{label}{lo}~{hi}")
state[code][key] = False
state_updated = True
# === 第三步:买入区偏离检测 + 自动重评 ===
reassesed_codes = []
# 先做急跌检测(仅持仓,自选股不推送暴跌告警)
holdings_codes = {d["code"] for d in active if d.get("shares", 0) > 0}
for d in active:
code = d["code"]
# 非持仓跳过
if code not in holdings_codes:
continue
name = d.get("name", code)
price_info = prices.get(code)
if not price_info:
continue
price, _, change_pct = price_info
if price == 0:
continue
# 单日跌幅>7%告警(不依赖zone边界,盘中急跌即触发)
try:
cp = float(change_pct) if change_pct else 0
except:
cp = 0
if cp <= -7:
prev_alert = state.get(code, {}).get("__sharp_decline_triggered", False)
if not prev_alert:
stop_loss = d.get("stop_loss", 0)
sl_note = f" 止损{stop_loss}" if stop_loss else ""
msg = f"🔻 {name}({code}) {price} 暴跌{cp:.1f}%{sl_note}"
push_to_xmpp(msg)
outputs.append(msg)
state.setdefault(code, {})["__sharp_decline_triggered"] = True
state_updated = True
# 立即持久化,防止后续超时导致状态丢失而重复推送
save_state(state)
elif cp > -5:
# 反弹后清除告警标记,下次再跌还能报
state.setdefault(code, {}).pop("__sharp_decline_triggered", None)
for d in active:
code = d["code"]
name = d.get("name", code)
price_info = prices.get(code)
if not price_info:
continue
price, _, _ = price_info
if price == 0:
continue
# 从 decisions (DB holding_strategies) 中读取 analysis 的买入区
entry_low = d.get("entry_low", 0)
entry_high = d.get("entry_high", 0)
if not entry_low or not entry_high:
continue
in_buy_zone = entry_low <= price <= entry_high
prev_in_buy_zone = state.get(code, {}).get("__buy_zone", None)
# 状态变化时才触发
if in_buy_zone and prev_in_buy_zone == False:
# 重新进入买入区 → 重评确认区间是否仍然有效
outputs.append(f"🔄 {name}({code}) {price} → 重新进入买入区{entry_low}~{entry_high},触发技术面重评")
do_reassess = True
elif not in_buy_zone and prev_in_buy_zone == True:
# 离开买入区 → 立即重评,更新止损/止盈/区间
outputs.append(f"🔄 {name}({code}) {price} → 离开买入区{entry_low}~{entry_high},立即技术面重评")
do_reassess = True
else:
do_reassess = False
if do_reassess and HAS_REASSESS:
try:
cost = d.get("cost", 0) or 0
shares = d.get("shares", 0) or 0
profit_pct = (price - cost) / cost * 100 if cost else 0
is_deep_loss = profit_pct < -20
sentiment = "neutral"
if d.get("tech_snapshot"):
if "bearish" in d["tech_snapshot"]:
sentiment = "bearish"
elif "bullish" in d["tech_snapshot"]:
sentiment = "bullish"
# 调用技术面驱动重评(非机械百分比)
result = reassess_strategy(
code, name, price, cost, shares,
current_action=d.get("action", ""),
volume_signal="中性", sentiment=sentiment,
)
outputs.append(f" 📊 新策略: 损{result['stop_loss']}{result['take_profit']}{result['entry_low']}~{result['entry_high']} RR={result['rr_ratio']}")
reassesed_codes.append(code)
except Exception as e:
outputs.append(f" ⚠️ 重评失败: {e}")
# 更新买入区状态
if "__buy_zone" not in state.get(code, {}):
if code not in state:
state[code] = {}
state[code]["__buy_zone"] = in_buy_zone
state_updated = True
# 如果有重评过的股票,更新 DB holding_strategies(此前写入 decisions.json,已废弃)
if reassesed_codes and HAS_REASSESS:
# ── 5分钟冷却:regenerate_all 开销太大,不每2分钟跑一次 ──
_regen_marker = "/tmp/price_monitor_regen_at"
_skip_regen = False
try:
if os.path.exists(_regen_marker):
with open(_regen_marker) as _f:
_last_regen = float(_f.read().strip())
if time.time() - _last_regen < 300:
_skip_regen = True
except:
pass
if _skip_regen:
outputs.append(f" ⏭ 跳过全量重评(距上次<5min),下次再跑")
else:
try:
from strategy_lifecycle import regenerate_all
r = regenerate_all(stdout=False)
outputs.append(f" ✅ 策略已全量重评: {r.get('ok',0)}/{r.get('total',0)}成功")
outputs.append(f" 📌 触发股票: {', '.join(reassesed_codes)}")
try:
with open(_regen_marker, "w") as _f:
_f.write(str(time.time()))
except:
pass
except Exception as e:
outputs.append(f" ⚠️ 全量重评失败: {e}")
# === 第四步:输出 ===
now_str = datetime.now().strftime("%H:%M:%S")
elapsed = time.time() - start
if outputs:
print(f"\n🔔 {now_str}{label}")
for o in outputs:
print(o)
print(f"\n<structured_data>{json.dumps({'type':'价格监控','time':now_str,'triggers':outputs}, ensure_ascii=False)}</structured_data>")
else:
# 无触发时 SILENT(中继不推送)
print(f"[SILENT]{label} 价格正常 | {refreshed}只已刷新 | {elapsed:.1f}s")
if state_updated:
save_state(state)
# 输出耗时
print(f"{label} {elapsed:.1f}s", flush=True)
# 清理进程锁
try:
os.remove("/tmp/price_monitor.lock")
except Exception:
pass
def main():
"""每cron触发跑一轮"""
run_once()
if __name__ == "__main__":
main()