Files
sfgrid/core/qmt_dummy.py
T
2026-06-12 16:25:41 +08:00

298 lines
11 KiB
Python

"""
Dummy QMT 模拟器 - 用于在非 Windows 环境下模拟 QMT 交易功能
"""
import datetime
import threading
import time
import random
import config
import core.eventbus as eBus
from core.logger import LogLevel, PrintLog
class DummyPosition:
"""模拟持仓"""
def __init__(self, stock_code, stock_name, volume, yesterday_vol=0):
self.stock_code = stock_code
self.stock_name = stock_name
self.volume = volume
self.can_use_volume = volume
self.yesterday_volume = yesterday_vol
class DummyOrder:
"""模拟订单"""
def __init__(self, stock_code, order_id, status, price, volume):
self.stock_code = stock_code
self.order_id = order_id
self.order_status = status
self.order_price = price
self.volume = volume
class DummyTrade:
"""模拟成交"""
def __init__(self, stock_code, trade_id, price, volume, strategy_name):
self.stock_code = stock_code
self.trade_id = trade_id
self.trade_price = price
self.trade_volume = volume
self.strategy_name = strategy_name
class DummyOrderResponse:
"""模拟下单响应"""
def __init__(self, order_id, stock_code, seq, error_msg, strategy_name):
self.order_id = order_id
self.stock_code = stock_code
self.seq = seq
self.error_msg = error_msg
self.strategy_name = strategy_name
class DummyQmtV:
"""
Dummy QMT 模拟器
模拟 QmtV 类的接口,用于在没有 miniQMT 的环境下运行和测试
"""
def __init__(self) -> None:
self.inited = False
self.details = {}
self.lastMarketDataUpdateTimestamp = time.time()
self.isMarketActive = True
self.connected = False
self.account = None
self._positions = {}
self._pending_orders = []
self._market_data_thread = None
self._counter = 0
def getTrader(self):
return self
def init_qmtv(self):
"""初始化交易器"""
PrintLog(LogLevel.INFO, f'- [模拟] QMT 交易器初始化')
self.connected = True
self.inited = True
def connect(self) -> bool:
"""连接 QMT (模拟总是成功)"""
PrintLog(LogLevel.INFO, f'- [成功] 市场交易连接 (模拟模式)')
# 创建模拟账号
try:
from xtquant.xttype import StockAccount
self.account = StockAccount(config.account_no, 'STOCK')
except ImportError:
self.account = type('StockAccount', (), {'account_id': config.account_no})()
PrintLog(LogLevel.INFO, f'- [成功] 交易账号: {config.account_no}')
self._init_dummy_positions()
self.startMarketDataSubscription()
return self.inited
def _init_dummy_positions(self):
"""初始化模拟持仓数据"""
dummy_stocks = [
('600519', '贵州茅台', 100, 2800.0),
('000858', '五粮液', 200, 180.0),
('600036', '招商银行', 500, 42.0),
('000001', '平安银行', 300, 13.5),
]
for code, name, volume, price in dummy_stocks:
self._positions[code] = {
'stock_code': code,
'stock_name': name,
'volume': volume,
'can_use_volume': volume,
'open_cost': price,
'market_value': volume * price
}
PrintLog(LogLevel.INFO, f'- [模拟] 已加载 {len(self._positions)} 个持仓')
def getAllPositions(self) -> dict:
"""获取全部持仓,返回 {stock_code: position_object}"""
result = {}
for code, pos_data in self._positions.items():
result[code] = type('DummyPos', (), pos_data)()
return result
def getStockPosition(self, stock_code: str):
"""获取持仓 (模拟)"""
if stock_code in self._positions:
pos = self._positions[stock_code]
return type('DummyPos', (), pos)()
return None
def queryTodayOrders(self) -> list:
"""查询当日所有委托 (模拟)"""
return list(self._pending_orders)
def queryTodayTrades(self) -> list:
"""查询当日所有成交 (模拟)"""
return [] # 模拟模式无实际成交记录
def queryPendingOrder(self, stock_code: str, tag: str) -> list:
"""查询挂单"""
return [o for o in self._pending_orders
if o.stock_code == stock_code and
(tag is None or getattr(o, 'strategy_name', None) == tag)]
def orderAsync(self, stock_code, orderVolume, orderType, orderPrice, priceType, orderRemark, strategy_name):
"""异步下单 (模拟)"""
self._counter += 1
order_id = f"DUMMY{self._counter:06d}"
seq = self._counter
order = DummyOrder(
stock_code=stock_code,
order_id=order_id,
status='reported',
price=orderPrice,
volume=orderVolume
)
order.strategy_name = strategy_name
order.order_remark = orderRemark
self._pending_orders.append(order)
response = DummyOrderResponse(
order_id=order_id,
stock_code=stock_code,
seq=seq,
error_msg='成功',
strategy_name=strategy_name
)
response.order_remark = orderRemark
eBus.event_bus.publish(eBus.MarketOrderCreated, response)
PrintLog(LogLevel.INFO, f'- [模拟下单] {stock_code} 数量:{orderVolume} 价格:{orderPrice} 订单号:{order_id}')
# 模拟成交 (80% 概率)
if random.random() > 0.2:
threading.Timer(random.uniform(0.5, 3.0), self._simulate_trade,
args=(stock_code, order_id, orderPrice, orderVolume, strategy_name)).start()
return 0
def _simulate_trade(self, stock_code, order_id, price, volume, strategy_name):
"""模拟成交"""
trade = DummyTrade(
stock_code=stock_code,
trade_id=f"TRADE{self._counter:06d}",
price=price,
volume=volume,
strategy_name=strategy_name
)
trade.trade_time = int(time.strftime('%H%M%S'))
trade.order_remark = stock_code
if stock_code in self._positions:
self._positions[stock_code]['volume'] += volume
self._positions[stock_code]['can_use_volume'] += volume
eBus.event_bus.publish(eBus.MarketOrderTraded, trade)
PrintLog(LogLevel.INFO, f'- [模拟成交] {stock_code} 数量:{volume} 价格:{price}')
def cacheStockDetail(self, stock_code: str):
"""获取股票详情 (模拟)"""
if stock_code not in self.details:
self.details[stock_code] = {
'InstrumentName': self._get_dummy_name(stock_code),
'UpStopPrice': 0,
'DownStopPrice': 0
}
return self.details[stock_code]
def _get_dummy_name(self, stock_code: str) -> str:
"""获取模拟股票名称"""
names = {
'600519': '贵州茅台', '000858': '五粮液', '600036': '招商银行',
'000001': '平安银行', '000002': '万科A', '600000': '浦发银行'
}
return names.get(stock_code, f'股票{stock_code}')
def getInstrumentName(self, stock_code: str) -> str:
"""获取股票名称"""
return self.cacheStockDetail(stock_code)['InstrumentName']
def dailyUpStop(self, stock_code: str):
"""获取涨停价 (模拟)"""
cacheStock = self.cacheStockDetail(stock_code)
PrintLog(LogLevel.INFO, f'- [模拟] 获取股票详情: {stock_code} {cacheStock["InstrumentName"]} 涨停价: 0')
return 0.0
def dailyDownStop(self, stock_code: str):
"""获取跌停价 (模拟)"""
return 0.0
def getLastPrice(self, stock_code: str) -> float:
"""主动获取最新市价(模拟)"""
if stock_code in self._positions:
return float(self._positions[stock_code].get('open_cost', 10.0))
# 给一个合理模拟价
return 10.0 + hash(stock_code) % 100
def startMarketDataSubscription(self):
"""启动市场数据订阅 (模拟)"""
try:
self._market_data_thread = threading.Thread(target=self._generate_market_data, daemon=True)
self._market_data_thread.start()
PrintLog(LogLevel.INFO, f'- [市场数据订阅成功-模拟]')
except Exception as e:
PrintLog(LogLevel.ERROR, f'- [市场数据订阅失败-{e}]')
def stopMarketDataSubscription(self):
"""停止市场数据订阅"""
PrintLog(LogLevel.INFO, '- 停止市场数据订阅 (模拟)')
def _generate_market_data(self):
"""生成模拟市场数据"""
stocks = ['600519', '000858', '600036', '000001', '000002', '600000']
base_prices = [2800.0, 180.0, 42.0, 13.5, 10.0, 10.0]
while True:
try:
for i, stock in enumerate(stocks):
data = {
'stock_code': stock,
'last_price': base_prices[i] + random.uniform(-1, 1),
'open_price': base_prices[i],
'high_price': base_prices[i] + random.uniform(0, 2),
'low_price': base_prices[i] - random.uniform(0, 2),
'volume': random.randint(1000, 10000),
'timestamp': time.time()
}
eBus.event_bus.publish(eBus.MarketDataUpdate, data)
base_prices[i] = data['last_price']
self.lastMarketDataUpdateTimestamp = time.time()
self.isMarketActive = True
eBus.event_bus.publish(eBus.EventMarketActiveSwitch, True)
time.sleep(3)
except Exception as e:
PrintLog(LogLevel.ERROR, f'- [市场数据模拟异常-{e}]')
time.sleep(1)
def on_connected(self):
print(datetime.datetime.now(), '模拟连接成功')
def on_disconnected(self):
print(datetime.datetime.now(), '模拟连接断开')
def on_stock_order(self, order):
pass
def on_stock_trade(self, trade):
eBus.event_bus.publish(eBus.MarketOrderTraded, trade)
def on_order_stock_async_response(self, response):
eBus.event_bus.publish(eBus.MarketOrderCreated, response)
def on_order_error(self, order_error):
print(f"\n模拟委托报错回调: order_id={order_error.order_id}, error_id={order_error.error_id}, error_msg={order_error.error_msg}, remark={order_error.order_remark}")
eBus.event_bus.publish(eBus.MarketOrderError, order_error)
def on_account_status(self, status):
print(datetime.datetime.now(), status)
qmtv = DummyQmtV()