import multiprocessing
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import threading
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import time
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import requests
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from huaxin_client import l2_market_client, trade_client
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from log_module.log import logger_debug
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from server import data_server
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from strategy.env_info import RealTimeEnvInfo
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from third_data import hx_qc_value_util
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from trade.huaxin import huaxin_trade_api
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from utils import tool
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def __run_l2_market_subscript():
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def read_results():
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while True:
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try:
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data = queue_l1_w_strategy_r.get()
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if data.get("type") == 'set_target_codes':
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# [(代码, 时间戳, 价格, 总交易量, 总交易额, 买5, 卖5)]
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market_data_list = data["data"]["data"]
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RealTimeEnvInfo().ticks = (tool.get_now_time_str(), len(market_data_list))
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except:
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time.sleep(0.1)
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queue_l1_w_strategy_r: multiprocessing.Queue = multiprocessing.Queue()
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l2MarketProcess = multiprocessing.Process(target=l2_market_client.run,
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args=(queue_l1_w_strategy_r,))
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l2MarketProcess.start()
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read_results()
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def test():
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time.sleep(10)
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result = huaxin_trade_api.get_money(blocking=True)
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logger_debug.info(f"测试交易账户获取：{result}")
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# 发送信息
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requests.post("http://127.0.0.1:9008/upload_big_order_datas", [(1, 2, 3, 4, 5)])
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# 获取增值服务API
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result = hx_qc_value_util.get_next_trading_date("2025-06-06")
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logger_debug.info(f"测试获取下一个交易日：{result}")
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if __name__ == "__main__":
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# -----启动data_server-----
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threading.Thread(target=lambda: data_server.run("127.0.0.1", 9008), daemon=True).start()
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# -------启动华鑫增值服务api------
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threading.Thread(target=hx_qc_value_util.run, daemon=True).start()
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# --------启动交易----------
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huaxin_trade_api.run()
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threading.Thread(target=test, daemon=True).start()
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test()
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# -------启动L2 market订阅------
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__run_l2_market_subscript()
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print("启动完成")
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