#!/usr/bin/env python3 """连续多次全区间回测,验证内存泄漏已彻底解决""" import zmq import time import json # 关羽完整策略代码 strategy_code = '''from vnpy_ctastrategy import ( CtaTemplate, StopOrder, TickData, BarData, TradeData, OrderData, BarGenerator, ArrayManager, ) from vnpy.trader.constant import Direction, Offset class SingleStockStopLossStrategy(CtaTemplate): """单票固定比例止损策略 - 均线趋势跟踪+固定比例止损""" author = "关羽 (云长)" # 策略参数 fast_window = 5 # 短期均线窗口 slow_window = 20 # 长期均线窗口 stop_loss_pct = 0.15 # 止损比例,亏损超过这个比例止损 # 参数列表 parameters = ["fast_window", "slow_window", "stop_loss_pct"] # 变量列表 variables = ["fast_ma", "slow_ma", "cost_price", "in_position"] def __init__(self, cta_engine, strategy_name, vt_symbol, setting): """初始化""" super().__init__(cta_engine, strategy_name, vt_symbol, setting) self.bg = BarGenerator(self.on_bar) self.am = ArrayManager(max(self.slow_window + 10, 30)) # 均线数值 self.fast_ma = 0.0 self.slow_ma = 0.0 # 开仓成本 self.cost_price = 0.0 # 是否持仓 self.in_position = False def on_init(self): """初始化策略""" self.write_log(f"策略初始化,fast={self.fast_window}, slow={self.slow_window}, stop_loss={self.stop_loss_pct:.1%}") self.load_bar(self.slow_window + 10) self.put_event() def on_start(self): """启动策略""" self.put_event() def on_stop(self): """停止策略""" self.put_event() def on_bar(self, bar): """K线更新""" self.am.update_bar(bar) if not self.am.inited: return # 计算均线 self.fast_ma = self.am.sma(self.fast_window) self.slow_ma = self.am.sma(self.slow_window) # 检查止损(只有持仓时才检查) have_signal = True if self.in_position and self.cost_price > 0: current_drawdown = (bar.close_price - self.cost_price) / self.cost_price if current_drawdown <= -self.stop_loss_pct: # 触发止损,全部平仓 if self.pos > 0: self.sell(bar.close_price, self.pos) self.in_position = False have_signal = False # 如果没有触发止损,继续处理信号 if have_signal: # 均线金叉死叉信号 if not self.in_position: # 金叉:短期上穿长期,开多 if self.fast_ma > self.slow_ma: self.buy(bar.close_price, 10000) self.cost_price = bar.close_price self.in_position = True else: # 死叉:短期下穿长期,平多 if self.fast_ma < self.slow_ma: if self.pos > 0: self.sell(bar.close_price, self.pos) self.in_position = False self.put_event() def on_trade(self, trade): """交易成交回调""" self.put_event() def on_order(self, order): """订单回调""" self.put_event() def on_stop_order(self, stop_order): """停止单回调""" self.put_event() ''' # 连续测试参数 TEST_COUNT = 3 REQUEST = { "function": "run_strategy_backtest", "args": [], "kwargs": { "strategy_code": strategy_code, "symbol": "510300.SSE", "interval": "1d", "start": 1609459200, # 2021-01-01 "end": 1772515200, # 2026-03-01 "capital": 1000000, "rate": 3e-5, "slippage": 0.002, "size": 10000, "pricetick": 0.001, "data_source": "sqlite", "setting": {"stop_loss_pct": 0.15} } } print("🔗 连接RPC: tcp://127.0.0.1:8008") context = zmq.Context() socket = context.socket(zmq.REQ) socket.connect("tcp://127.0.0.1:8008") socket.setsockopt(zmq.LINGER, 0) socket.setsockopt(zmq.RCVTIMEO, 900000) # 15分钟超时 socket.setsockopt(zmq.SNDTIMEO, 900000) print(f"🚀 开始连续回测测试,共 {TEST_COUNT} 次全区间 (5年)") print(f" 验证目标:每次回测后内存都能完全释放,不会累积泄漏") print() all_success = True for i in range(1, TEST_COUNT + 1): print(f"{'='*80}") print(f"🚀 第 {i}/{TEST_COUNT} 次全区间回测...") print(f" 标的: 510300.SSE") print(f" 区间: 2021-01-01 ~ 2026-03-01") print(f" 止损: 15%") print() start_time = time.time() try: socket.send_pyobj(REQUEST) result = socket.recv_pyobj() end_time = time.time() duration = end_time - start_time if "error" in result: print(f"\n❌ 第 {i} 次失败: {result['error']}") if "traceback" in result: print(f"\n{result['traceback']}") all_success = False break else: trades_count = result.get('trades_count', 0) print(f"\n✅ 第 {i} 次成功!") print(f" 耗时: {duration:.1f} 秒") print(f" 交易笔数: {trades_count}") print() except zmq.error.Again: print(f"\n⏱️ ❌ TIMEOUT: 第 {i} 次超过15分钟仍未完成") all_success = False break except Exception as e: print(f"\n❌ 第 {i} 次异常: {e}") import traceback traceback.print_exc() all_success = False break print() print("=" * 80) if all_success: print(f"🎉 连续 {TEST_COUNT} 次全区间回测全部成功!") print(f"✅ 内存泄漏问题已经彻底解决!") print(f"✅ 每次回测后内存都能完全释放!") else: print(f"❌ 测试失败,内存泄漏问题仍然存在") print("=" * 80) socket.close() context.term()