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"""
QMT量化交易系统主程序
"""
import os
import time
import threading
import signal
import sys
import hashlib
import json
from functools import lru_cache
from concurrent.futures import ThreadPoolExecutor, TimeoutError as FuturesTimeoutError
from datetime import datetime
# ── 账号专属配置预处理（必须在 import config 之前执行）──
# 支持命令行: python main.py --account-id TEST_ACC_1
_argv = sys.argv[1:]
for _i, _arg in enumerate(_argv):
if _arg in ('--account-id', '--account') and _i + 1 < len(_argv):
os.environ.setdefault('QMT_ACCOUNT_ID', _argv[_i + 1])
break
if _arg.startswith('--account-id='):
os.environ.setdefault('QMT_ACCOUNT_ID', _arg.split('=', 1)[1])
break
# ─────────────────────────────────────────────────────────
import config
import trade_calendar
# ── 设置控制台窗口标题 + 写入 PID 文件（供 menu.bat / scripts/_launcher.py 跟踪进程）──
def _setup_window_and_pid():
_aid = os.environ.get('QMT_ACCOUNT_ID', '').strip()
if sys.platform == 'win32' and _aid:
try:
import ctypes
ctypes.windll.kernel32.SetConsoleTitleW(f"miniQMT [{_aid}]")
except Exception:
pass
try:
os.makedirs(config.DATA_DIR, exist_ok=True)
pid_file = os.path.join(config.DATA_DIR, "pid.txt")
with open(pid_file, 'w', encoding='ascii') as f:
f.write(str(os.getpid()))
import atexit
def _cleanup_pid():
try:
if os.path.exists(pid_file):
os.remove(pid_file)
except Exception:
pass
atexit.register(_cleanup_pid)
except Exception:
pass
_setup_window_and_pid()
from logger import get_logger, schedule_log_cleanup, clean_old_logs
from maintenance import schedule_database_maintenance
from data_manager import get_data_manager
from indicator_calculator import get_indicator_calculator
from position_manager import get_position_manager
from trading_executor import get_trading_executor
from strategy import get_trading_strategy
from web_server import start_web_server
from config_manager import get_config_manager
from thread_monitor import get_thread_monitor
# 获取logger
logger = get_logger("main")
# 全局变量
threads = []
stop_event = threading.Event()
system_start_time = None # 系统启动时间
heartbeat_thread = None # 心跳日志线程
# ── spinner（旋转指示器）──
_spinner_stop = threading.Event()
_spinner_thread = None
def _switch_text(enabled):
return "开启" if enabled else "关闭"
def _get_existing_position_manager():
position_manager_module = sys.modules.get("position_manager")
return getattr(position_manager_module, "_instance", None)
@lru_cache(maxsize=1)
def _get_code_version():
"""启动后固定版本及源码摘要，便于区分同一发布版本的不同部署。"""
root = os.path.dirname(os.path.abspath(__file__))
try:
with open(os.path.join(root, 'release_version.json'), encoding='utf-8') as handle:
version = json.load(handle).get('releaseVersion', 'N/A')
digest = hashlib.sha256()
for name in sorted(os.listdir(root)):
if name.endswith('.py'):
digest.update(name.encode('utf-8'))
with open(os.path.join(root, name), 'rb') as handle:
digest.update(handle.read())
return version, digest.hexdigest()[:12]
except (OSError, ValueError):
return 'N/A', 'N/A'
def _get_runtime_identity(position_manager=None):
"""返回当前进程身份信息，清理阶段不得因取值失败影响退出。"""
try:
account_config = config.get_account_config()
account_id = os.environ.get("QMT_ACCOUNT_ID", "").strip() or account_config.get("account_id", "")
except Exception:
account_id = os.environ.get("QMT_ACCOUNT_ID", "").strip()
session_id = "N/A"
try:
pm = position_manager or _get_existing_position_manager()
qmt_trader = getattr(pm, "qmt_trader", None) if pm else None
qmt_config = getattr(qmt_trader, "config", None)
session_id = (
getattr(qmt_trader, "session_id", None)
or getattr(qmt_config, "session_id", None)
or "N/A"
)
except Exception:
session_id = "N/A"
release_version, code_id = _get_code_version()
return {
"pid": os.getpid(),
"account_id": account_id or "未配置",
"port": getattr(config, "WEB_SERVER_PORT", "N/A"),
"session_id": session_id,
"release_version": release_version,
"code_id": code_id,
}
def _format_runtime_identity(identity=None):
identity = identity or _get_runtime_identity()
return (
f"pid={identity['pid']} "
f"account_id={identity['account_id']} "
f"port={identity['port']} "
f"session_id={identity['session_id']} "
f"version={identity.get('release_version', 'N/A')} "
f"code_id={identity.get('code_id', 'N/A')}"
)
def _log_process_lifecycle(event, position_manager=None):
logger.info(f"进程生命周期: {event} {_format_runtime_identity(_get_runtime_identity(position_manager))}")
def _get_active_grid_session_count(position_manager=None):
try:
pm = position_manager or _get_existing_position_manager()
grid_manager = getattr(pm, "grid_manager", None) if pm else None
if not grid_manager:
return 0
lock = getattr(grid_manager, "lock", None)
if lock:
with lock:
sessions = list((getattr(grid_manager, "sessions", {}) or {}).values())
else:
sessions = list((getattr(grid_manager, "sessions", {}) or {}).values())
return sum(
1 for session in sessions
if getattr(session, "status", None) == "active" and getattr(session, "enabled", True)
)
except Exception:
return "获取失败"
def _format_heartbeat_status_lines(active_grid_session_count):
return (
f" 模式:{'模拟' if config.ENABLE_SIMULATION_MODE else '实盘'} | "
f"无人值守总开关:{_switch_text(config.ENABLE_AUTO_OPERATION)} | "
f"自动止盈:{_switch_text(config.ENABLE_AUTO_TRADING)}",
f" 自动网格:{_switch_text(config.ENABLE_GRID_TRADING)} | "
f"活跃网格会话数:{active_grid_session_count}",
)
def _format_resource_line():
"""进程资源占用行：线程数（Python + OS）、句柄数与内存。
长跑进程线程/内存持续增长会以 RuntimeError: can't start new thread 收场，
且进程静默死亡后无任何线索，因此把这些指标写进心跳便于事后归因。
线程数同时给出两个口径：threading.active_count() 只覆盖 Python 层，
xtquant / QMT SDK 的原生线程只体现在 OS 口径里（实测 18 vs 104）。
句柄数用于识别句柄泄漏——耗尽时同样表现为打开文件失败。
"""
thread_count = threading.active_count()
try:
from utils import memory_usage, process_resource_stats
mem = memory_usage()
proc = process_resource_stats()
except Exception:
mem = None
proc = None
if proc:
thread_str = f"线程数:{thread_count}(OS {proc['os_threads']}) | 句柄:{proc['handles']}"
else:
thread_str = f"线程数:{thread_count}"
if mem:
mem_str = f"内存:RSS {mem['rss_mb']:.0f}MB / VMS {mem['vms_mb']:.0f}MB"
else:
mem_str = "内存:获取失败"
return f" {thread_str} | {mem_str}"
def _spinner_worker():
"""在终端同一行滚动显示 |/-\\ 旋转符号，表示程序正在运行。
直接写 stdout，不进入日志文件；logger 输出的完整行会自然覆盖该符号。
刷新间隔取 config.SPINNER_INTERVAL：这是本进程写 stdout 最频繁的来源，
而 Windows Terminal 在高频写入下会无限泄漏内存，频率直接决定泄漏速度。
"""
chars = r'|/-\\'
interval = getattr(config, 'SPINNER_INTERVAL', 1.0)
i = 0
while not _spinner_stop.is_set():
sys.stdout.write('\r' + chars[i % 4] + ' ')
sys.stdout.flush()
i += 1
_spinner_stop.wait(interval)
sys.stdout.write('\r \r') # 退出时清除残留字符
sys.stdout.flush()
def signal_handler(sig, frame):
"""信号处理函数，用于捕获退出信号"""
logger.info("收到退出信号")
stop_event.set()
sys.exit(0)
def _check_stop_signal():
"""检查 launcher 写入的停止信号文件，实现跨控制台的优雅关闭。
Windows 下 CREATE_NEW_CONSOLE 创建的进程有独立控制台，
GenerateConsoleCtrlEvent 无法送达 Ctrl+C。
launcher 的 cmd_stop 在发送 Ctrl+C 的同时，也会写入
data_<id>/stop_signal 文件。主循环检测到该文件即触发优雅退出。
"""
signal_path = os.path.join(config.DATA_DIR, "stop_signal")
if os.path.exists(signal_path):
logger.info("检测到停止信号文件，触发优雅退出")
try:
os.remove(signal_path)
except Exception:
pass
stop_event.set()
def load_persisted_configs():
"""从数据库加载持久化配置"""
logger.info("加载持久化配置")
try:
config_manager = get_config_manager()
applied_count = config_manager.apply_configs_to_runtime()
logger.info(f"✓ 配置{applied_count}项")
return applied_count
except Exception as e:
logger.error(f"配置加载失败:{str(e)[:30]}")
return 0
def _start_xtquant_manager_server():
"""
启动 XtQuantManager HTTP 服务（后台线程）。
仅在 config.ENABLE_XTQUANT_MANAGER=True 时生效。
服务启动后，position_manager 和 data_manager 的工厂函数
可通过 HTTP 路由到该服务，实现多账号统一管理。
Returns:
XtQuantServer: 已启动的服务实例；ENABLE_XTQUANT_MANAGER=False 时返回 None。
"""
if not getattr(config, "ENABLE_XTQUANT_MANAGER", False):
return None
try:
from xtquant_manager import XtQuantServer, XtQuantServerConfig, XtQuantManager
from xtquant_manager.account import AccountConfig
xqm_port = getattr(config, "XTQUANT_MANAGER_PORT", 8888)
srv_cfg = XtQuantServerConfig(
host="127.0.0.1",
port=xqm_port,
api_token=getattr(config, "XTQUANT_MANAGER_TOKEN", ""),
rate_limit=getattr(config, "XTQUANT_MANAGER_RATE_LIMIT", 600),
)
server = XtQuantServer(config=srv_cfg)
server.start(blocking=False)
logger.info(f"✓ XtQuantManager HTTP 服务已启动 (127.0.0.1:{xqm_port})")
# 注册所有账号（支持单账号和多账号两种配置格式）
manager = XtQuantManager.get_instance()
accounts_list = config.get_all_accounts_config()
for acfg in accounts_list:
acc_id = acfg.get("account_id", "")
if not acc_id:
continue
try:
ok = manager.register_account(AccountConfig(
account_id=acc_id,
qmt_path=acfg.get("qmt_path", config.QMT_PATH),
account_type=acfg.get("account_type", "STOCK"),
))
if ok:
logger.info(f"✓ 账号 {acc_id[:4]}*** 注册成功")
else:
logger.warning(f"账号 {acc_id[:4]}*** 注册但连接失败，将自动重连")
except Exception as e:
logger.error(f"注册账号 {acc_id[:4]}*** 失败: {e}")
logger.info(f"✓ 共注册 {len(accounts_list)} 个账号")
return server
except Exception as e:
logger.error(f"XtQuantManager 服务启动失败: {e}")
return None
def init_system():
"""初始化系统"""
logger.info("系统初始化")
# 创建数据目录
if not os.path.exists(config.DATA_DIR):
os.makedirs(config.DATA_DIR)
logger.info(f"✓ 创建目录:{config.DATA_DIR}")
# 加载持久化配置（在初始化其他模块之前）
load_persisted_configs()
# 按需启动 XtQuantManager HTTP 服务（在各模块初始化之前）
_start_xtquant_manager_server()
# 获取各个模块的实例
data_manager = get_data_manager()
indicator_calculator = get_indicator_calculator()
position_manager = get_position_manager()
trading_executor = get_trading_executor()
trading_strategy = get_trading_strategy()
# Fix: web_server.py 模块加载时（import 阶段）触发 DataManager 单例创建，
# 但此时 XtQuantManager HTTP 服务尚未启动，导致 xtdata 初始化失败（self.xt=None）。
# 在 HTTP 服务启动后，调用 reinit_xtquant() 补充初始化。
if getattr(config, "ENABLE_XTQUANT_MANAGER", False):
data_manager.reinit_xtquant()
# 预热股票名称缓存，避免首次交易时触发 baostock 导致 xtdata 断连
data_manager.warm_stock_name_cache()
logger.info("✓ 系统初始化完成")
return data_manager, indicator_calculator, position_manager, trading_executor, trading_strategy
def heartbeat_logger():
"""系统心跳日志 - 定期输出运行状态摘要"""
while not stop_event.is_set():
try:
# 等待指定间隔
if stop_event.wait(config.HEARTBEAT_INTERVAL):
break # 收到停止信号
# 计算运行时长
if system_start_time:
uptime = datetime.now() - system_start_time
hours, remainder = divmod(int(uptime.total_seconds()), 3600)
minutes, seconds = divmod(remainder, 60)
uptime_str = f"{hours}h{minutes}m{seconds}s"
else:
uptime_str = "未知"
position_manager = None
# 获取持仓信息
positions = None
try:
position_manager = get_position_manager()
positions = position_manager.get_all_positions()
position_count = 0 if positions is None or positions.empty else len(positions)
# 获取账户信息
account_info = position_manager.get_account_info()
if account_info:
total_asset = account_info.get('total_asset', 0)
available = account_info.get('available', 0)
asset_str = f"总资产:{total_asset:.2f} 可用:{available:.2f}"
else:
asset_str = "资产信息获取失败"
except Exception as e:
position_count = "获取失败"
asset_str = f"获取失败:{str(e)[:20]}"
# 输出心跳日志
try:
market_health_str = get_data_manager().format_market_health_summary()
except Exception as e:
market_health_str = f"行情健康: 获取失败:{str(e)[:20]}"
active_grid_session_count = _get_active_grid_session_count(position_manager)
logger.info("=" * 50)
logger.info(f"💓 系统心跳 - 运行时长:{uptime_str}")
for status_line in _format_heartbeat_status_lines(active_grid_session_count):
logger.info(status_line)
logger.info(f" 持仓数量:{position_count} | {asset_str}")
if positions is not None and 'unavailable_volume' in positions.columns:
restricted = positions[positions['unavailable_volume'].fillna(0) > 0]
logger.info(f" 受限持仓:{len(restricted)}只 | 不可卖数量:{int(restricted['unavailable_volume'].sum())}股")
logger.info(_format_resource_line())
sync_status = position_manager.get_sync_status()
sync_age = sync_status['age_seconds']
sync_duration = sync_status['duration_seconds']
sync_age_text = f"{sync_age:.2f}" if sync_age is not None else "None"
sync_duration_text = f"{sync_duration:.2f}" if sync_duration is not None else "None"
logger.info(f" 持久化: 距今={sync_age_text}秒，"
f"耗时={sync_duration_text}秒，"
f"延迟={position_manager.last_order_timeout_delay_seconds:.2f}秒")
logger.info(f" {market_health_str}")
logger.info("=" * 50)
except Exception as e:
logger.error(f"心跳日志出错:{str(e)[:50]}")
time.sleep(60) # 出错后等待一分钟再继续
def start_heartbeat_logger():
"""启动心跳日志线程及终端旋转指示器"""
global heartbeat_thread, system_start_time, _spinner_thread
if not config.ENABLE_HEARTBEAT_LOG:
logger.info("心跳日志未启用 (ENABLE_HEARTBEAT_LOG=False)")
return
system_start_time = datetime.now()
heartbeat_thread = threading.Thread(target=heartbeat_logger, daemon=True, name="HeartbeatLogger")
heartbeat_thread.start()
_spinner_stop.clear()
_spinner_thread = threading.Thread(target=_spinner_worker, daemon=True, name="SpinnerThread")
_spinner_thread.start()
logger.info(f"✅ 心跳日志已启动 (间隔:{config.HEARTBEAT_INTERVAL}秒)")
def stop_heartbeat_logger():
"""停止心跳日志线程及旋转指示器"""
global heartbeat_thread, _spinner_thread
_spinner_stop.set()
if _spinner_thread and _spinner_thread.is_alive():
_spinner_thread.join(timeout=1)
if heartbeat_thread and heartbeat_thread.is_alive():
logger.info("停止心跳日志线程")
stop_event.set()
heartbeat_thread.join(timeout=2)
def start_data_thread(data_manager):
"""启动数据更新线程"""
if config.ENABLE_DATA_SYNC:
logger.info("启动数据更新线程")
data_manager.start_data_update_thread()
threads.append(("data_thread", data_manager.stop_data_update_thread))
def start_position_thread(position_manager):
"""启动持仓监控线程"""
if config.ENABLE_POSITION_MONITOR:
logger.info("启动持仓监控")
position_manager.start_position_monitor_thread()
# 🔑 验证线程启动
time.sleep(0.5) # 等待线程启动
if position_manager.monitor_thread and position_manager.monitor_thread.is_alive():
logger.info("✅ 持仓监控已启动")
else:
logger.error("❌ 持仓监控启动失败")
threads.append(("position_thread", position_manager.stop_position_monitor_thread))
else:
logger.warning("⚠️ 持仓监控未启用")
def start_strategy_thread(trading_strategy):
"""启动策略线程"""
# if config.ENABLE_AUTO_TRADING:
logger.info("启动策略线程")
trading_strategy.start_strategy_thread()
threads.append(("strategy_thread", trading_strategy.stop_strategy_thread))
def start_log_cleanup_thread():
"""启动日志清理线程"""
if config.ENABLE_LOG_CLEANUP:
logger.info("启动日志清理线程")
log_thread = threading.Thread(target=schedule_log_cleanup)
log_thread.daemon = True
log_thread.start()
threads.append(("log_thread", lambda: None)) # 没有停止函数，依赖于daemon=True
def start_database_maintenance_thread():
"""启动数据库维护线程"""
if config.ENABLE_DB_MAINTENANCE:
logger.info("启动数据库维护线程")
db_maintenance_thread = threading.Thread(target=schedule_database_maintenance)
db_maintenance_thread.daemon = True
db_maintenance_thread.start()
threads.append(("db_maintenance_thread", lambda: None))
def start_settlement_snapshot_thread(position_manager):
"""启动收盘快照线程（持仓 + 净值）。
与 db_maintenance 同为"每日定时轮询"范式：过了点就补、当天只跑一次，
因此进程收盘后才启动也能补录当天快照。
"""
if not getattr(config, 'ENABLE_SETTLEMENT_SNAPSHOT', True):
logger.info("收盘快照线程未启用")
return
logger.info("启动收盘快照线程")
import settlement_db
settlement_db.ensure_schema()
snapshot_thread = threading.Thread(
target=lambda: settlement_db.schedule_close_snapshot(position_manager, stop_event))
snapshot_thread.daemon = True
snapshot_thread.start()
threads.append(("settlement_snapshot_thread", lambda: None))
def start_web_server_thread(position_manager):
"""启动Web服务器线程
Args:
position_manager: 已初始化的position_manager实例
"""
logger.info("启动Web服务器线程")
# logger.info(f"[DEBUG main.py] 传入Web服务器的position_manager id: {id(position_manager)}")
# 创建线程并传入position_manager
web_thread = threading.Thread(target=lambda: start_web_server(position_manager))
web_thread.daemon = True
web_thread.start()
# 使用shutdown_web_server进行资源清理
from web_server import shutdown_web_server
threads.append(("web_thread", shutdown_web_server))
def download_initial_data(data_manager):
"""下载初始数据，每只股票有超时保护"""
logger.info("下载初始数据")
timeout = config.HISTORY_DATA_DOWNLOAD_TIMEOUT
for stock_code in config.STOCK_POOL:
try:
logger.info(f"下载 {stock_code[:6]} 历史数据（超时{timeout}秒）")
executor = ThreadPoolExecutor(max_workers=1)
future = executor.submit(data_manager.download_history_data, stock_code)
try:
data_df = future.result(timeout=timeout)
if data_df is not None and not data_df.empty:
data_manager.save_history_data(stock_code, data_df)
except FuturesTimeoutError:
logger.warning(f"下载 {stock_code[:6]} 超时（>{timeout}秒），跳过")
finally:
executor.shutdown(wait=False) # 不阻塞等待后台线程，立即继续下一只
except Exception as e:
logger.error(f"下载 {stock_code[:6]} 失败:{str(e)[:30]}")
# 避免请求过于频繁
time.sleep(1)
logger.info("初始数据下载完成")
def calculate_initial_indicators(indicator_calculator):
"""计算初始指标"""
logger.info("计算初始指标")
indicator_calculator.update_all_stock_indicators()
logger.info("初始指标计算完成")
def cleanup():
"""清理资源 - 优雅关闭版本"""
_log_process_lifecycle("开始清理")
# 第1步: 先停止Web服务器(避免在关闭数据库后仍有请求)
for thread_name, stop_func in threads:
if thread_name == "web_thread":
try:
logger.info("停止Web服务器")
stop_func()
except Exception as e:
logger.error(f"Web服务器停止失败:{str(e)[:30]}")
break
# 第2步: 停止线程监控器(如果启用)
if config.ENABLE_THREAD_MONITOR:
try:
logger.info("停止线程监控")
thread_monitor = get_thread_monitor()
thread_monitor.stop()
except Exception as e:
logger.error(f"线程监控停止失败:{str(e)[:30]}")
# 第2.5步: 停止心跳日志线程
try:
stop_heartbeat_logger()
except Exception as e:
logger.error(f"心跳日志停止失败:{str(e)[:30]}")
# 第3步: 停止其他业务线程
for thread_name, stop_func in threads:
if thread_name == "web_thread":
continue # 已经停止
try:
logger.info(f"停止{thread_name}")
stop_func()
except Exception as e:
logger.error(f"{thread_name}停止失败:{str(e)[:30]}")
# 第4步: 关闭各个模块(按依赖顺序)
try:
trading_strategy = get_trading_strategy()
trading_strategy.close()
except Exception as e:
logger.error(f"策略关闭失败:{str(e)[:30]}")
try:
trading_executor = get_trading_executor()
trading_executor.close()
except Exception as e:
logger.error(f"执行器关闭失败:{str(e)[:30]}")
try:
data_manager = get_data_manager()
data_manager.close()
except Exception as e:
logger.error(f"数据管理器关闭失败:{str(e)[:30]}")
_log_process_lifecycle("清理完成")
def main():
"""主函数"""
try:
logger.info("=" * 50)
logger.info(f"QMT系统启动 - {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
logger.info("=" * 50)
# 设置信号处理
signal.signal(signal.SIGINT, signal_handler)
signal.signal(signal.SIGTERM, signal_handler)
# 交易日历: 进程可能连续运行数周，长假前必须拿到新日历，否则 is_trade_time()
# 等判定会按"周一至周五"把整个长假当成交易日。刷新失败只告警，不阻断启动。
trade_calendar.refresh_at_startup()
# 初始化系统
data_manager, indicator_calculator, position_manager, trading_executor, trading_strategy = init_system()
_log_process_lifecycle("启动", position_manager)
# 初始化网格交易管理器
logger.info(f"检查网格交易配置: ENABLE_GRID_TRADING = {config.ENABLE_GRID_TRADING}")
# logger.info(f"[DEBUG main.py] position_manager id: {id(position_manager)}")
# logger.info(f"[DEBUG main.py] position_manager有grid_manager属性: {hasattr(position_manager, 'grid_manager')}")
if config.ENABLE_GRID_TRADING:
try:
logger.info("初始化网格交易管理器")
# logger.info(f"[DEBUG main.py] 调用init_grid_manager前，grid_manager={getattr(position_manager, 'grid_manager', 'NO_ATTR')}")
position_manager.init_grid_manager(trading_executor)
# logger.info(f"[DEBUG main.py] 调用init_grid_manager后，grid_manager={position_manager.grid_manager}")
# logger.info(f"[DEBUG main.py] grid_manager类型: {type(position_manager.grid_manager)}")
logger.info("✓ 网格交易管理器初始化完成")
# ⚠️ 新增: 初始化风险等级模板(仅首次运行或更新时)
try:
logger.info("开始初始化风险等级模板...")
# 从position_manager获取db_manager
db_mgr = position_manager.db_manager
initialized_count = db_mgr.init_risk_level_templates()
if initialized_count > 0:
logger.info(f"✓ 新增 {initialized_count} 个风险等级模板")
else:
logger.info("✓ 风险等级模板已存在,无需初始化")
except Exception as e:
logger.warning(f"初始化风险等级模板失败(不影响系统运行): {str(e)}")
except Exception as e:
logger.error(f"网格交易管理器初始化失败: {str(e)}")
logger.info("系统继续运行(网格交易功能不可用)")
else:
logger.warning("网格交易功能未启用 (ENABLE_GRID_TRADING=False)")
# 下载初始数据
download_initial_data(data_manager)
# 计算初始指标
calculate_initial_indicators(indicator_calculator)
# 启动各个线程
start_data_thread(data_manager)
start_position_thread(position_manager)
start_strategy_thread(trading_strategy)
start_log_cleanup_thread()
start_database_maintenance_thread()
start_settlement_snapshot_thread(position_manager)
# ============ 新增: 启动盘前同步调度器 ============
from premarket_sync import start_premarket_sync_scheduler
start_premarket_sync_scheduler()
logger.info("✓ 盘前同步调度器已启动")
# ============ 新增: 启动线程健康监控 ============
if config.ENABLE_THREAD_MONITOR:
thread_monitor = get_thread_monitor()
# 注册持仓监控线程
# 注意：不注册 heartbeat_check=check_qmt_connection_health。
# QMT 断连 ≠ 线程崩溃——持仓监控线程本身始终健康，
# QMT 重连逻辑由 _attempt_qmt_reconnect() 在监控循环内部自主处理。
# 若注册 heartbeat_check，ping 失败会触发 _restart_thread()，
# 而线程仍存活导致 start 幂等返回，产生误导性"重启成功"日志噪音。
thread_monitor.register_thread(
"持仓监控线程",
lambda: position_manager.monitor_thread,
position_manager.start_position_monitor_thread,
)
# 注册数据更新线程
thread_monitor.register_thread(
"数据更新线程",
lambda: data_manager.update_thread,
data_manager.start_data_update_thread
)
# 注册策略线程
thread_monitor.register_thread(
"策略线程",
lambda: trading_strategy.strategy_thread,
trading_strategy.start_strategy_thread
)
# 启动监控
thread_monitor.start()
logger.info("✅ 线程监控已启动")
# ============ 新增: 启动系统心跳日志 ============
start_heartbeat_logger()
# ============ 新增: 启动卖出监控器 ============
if hasattr(config, 'ENABLE_SELL_MONITOR') and config.ENABLE_SELL_MONITOR:
try:
from sell_monitor import get_sell_monitor
sell_monitor = get_sell_monitor()
logger.info("✅ 卖出监控器已启动")
logger.info(f" 监控:{'启用' if sell_monitor.monitoring_enabled else '禁用'}")
logger.info(f" 告警:{'启用' if config.ENABLE_SELL_ALERT_NOTIFICATION else '禁用'}")
except Exception as e:
logger.warning(f"⚠️ 卖出监控器失败:{str(e)[:30]}")
logger.info("系统继续运行")
# 启动Web服务器。
# web2.0 模式下界面由 xtquant_manager 托管，但 Flask 仍会启动：
# 网关需要反向调用它读取 ENABLE_AUTO_OPERATION 等只存在于本进程
# 内存、不持久化的开关。launcher 仅在端口已被占用时才设 QMT_NO_FLASK。
if not os.environ.get("QMT_NO_FLASK"):
start_web_server_thread(position_manager)
else:
logger.info("跳过 Flask Web 服务器（QMT_NO_FLASK=1，端口已被占用或显式禁用）")
# 等待退出信号
logger.info("✅ 系统启动完成")
while not stop_event.is_set():
_check_stop_signal()
time.sleep(1)
except Exception as e:
logger.error(f"系统运行出错:{str(e)[:30]}")
finally:
cleanup()
logger.info("系统已退出")
if __name__ == "__main__":
main()