"""
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GUI管理
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"""
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import multiprocessing
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from db import redis_manager_delegate as redis_manager
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from log_module.log import logger_l2_process_time
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from server import *
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# 交易服务
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from third_data import data_server
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from trade.huaxin import trade_server, trade_api_server
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import huaxin
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def createTradeServer(pipe_server, pipe_trade, pipe_l1):
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# 初始化参数
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global_data_loader.init()
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# 数据服务
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t1 = threading.Thread(target=createDataServer, daemon=True)
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t1.start()
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# 交易接口服务
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t1 = threading.Thread(target=trade_api_server.run, args=(pipe_server,), daemon=True)
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t1.start()
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# redis后台服务
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t1 = threading.Thread(target=redis_manager.RedisUtils.run_loop, daemon=True)
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t1.start()
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# 交易服务
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trade_server.run(pipe_trade, pipe_l1)
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# 主服务
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def createServer(pipe):
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print("create Server")
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laddr = "", 9001
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tcpserver = MyThreadingTCPServer(laddr, MyBaseRequestHandle, pipe_trade=pipe) # 注意：参数是MyBaseRequestHandle
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# tcpserver.handle_request() # 只接受一个客户端连接
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tcpserver.serve_forever() # 永久循环执行,可以接受多个客户端连接
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def createDataServer():
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print("create DataServer")
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tcpserver = data_server.run("", 9004)
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tcpserver.serve_forever()
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if __name__ == '__main__':
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# 策略与server间的通信
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pss_server, pss_strategy = multiprocessing.Pipe()
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# 策略与交易间的通信
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pst_trade, pst_strategy = multiprocessing.Pipe()
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# 交易与l2之间的通信
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ptl2_trade, ptl2_l2 = multiprocessing.Pipe()
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# l1与trade间的通信
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pl1t_l1, pl1t_trade = multiprocessing.Pipe()
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serverProcess = multiprocessing.Process(target=createServer, args=(pss_server,))
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serverProcess.start()
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# 将tradeServer作为主进程
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createTradeServer(pss_strategy, pst_strategy, pl1t_trade)
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tradeProcess = multiprocessing.Process(target=huaxin.trade_client.run, args=(ptl2_trade, pst_trade))
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l2Process = multiprocessing.Process(target=huaxin.l2_client.run, args=(ptl2_l2,))
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tradeProcess.start()
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l2Process.start()
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# L1订阅数据
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huaxin.l1_client.run_async(pl1t_l1)
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