"""
GUI管理
"""
import logging
import multiprocessing
import os
import threading

import constant
from db import redis_manager_delegate as redis_manager
import huaxin_client.trade_client
import huaxin_client.l2_client
import huaxin_client.l1_client
import huaxin_client.l1_client_for_trade
from huaxin_client import l2_market_client
from log_module import log
from log_module.log import logger_l2_trade, logger_system, logger_local_huaxin_l1

import server

# 交易服务
from third_data import data_server
from trade.huaxin import huaxin_trade_server, huaxin_trade_api_server

# from huaxin_api import trade_client, l2_client, l1_client
from utils import tool


def createTradeServer(pipe_server, queue_strategy_r_trade_w_: multiprocessing.Queue,
                      queue_l1_w_strategy_r_: multiprocessing.Queue,
                      queue_strategy_w_trade_r_: multiprocessing.Queue,
                      queue_strategy_w_trade_r_for_read_: multiprocessing.Queue, queue_l1_trade_r_strategy_w_,
                      queue_l1_trade_w_strategy_r_, trade_ipc_addr):
    """
    策略进程
    @param pipe_server:
    @param queue_strategy_r_trade_w_:
    @param queue_l1_w_strategy_r_:
    @param queue_strategy_w_trade_r_:
    @param queue_strategy_w_trade_r_for_read_:
    @param queue_l1_trade_r_strategy_w_:
    @param queue_l1_trade_w_strategy_r_:
    @param trade_ipc_addr: 交易ipc地址(下单地址, 撤单地址)
    @return:
    """
    logger_system.info("策略进程ID：{}", os.getpid())
    log.close_print()
    # 初始化参数
    server.global_data_loader.init()

    # # 数据服务
    t1 = threading.Thread(target=createDataServer, name="createDataServer", daemon=True)
    t1.start()
    #
    # 交易接口服务
    t1 = threading.Thread(target=huaxin_trade_api_server.run, name="trade_api_server",
                          args=(pipe_server, queue_other_w_l2_r, queue_l1_trade_r_strategy_w_),
                          daemon=True)
    t1.start()
    #
    # redis后台服务
    t1 = threading.Thread(target=redis_manager.RedisUtils.run_loop, name="redis", daemon=True)
    t1.start()
    #
    # 启动华鑫交易服务
    huaxin_trade_server.run(queue_strategy_r_trade_w_, queue_l1_w_strategy_r_, queue_strategy_w_trade_r_,
                            queue_strategy_w_trade_r_for_read_,
                            queue_l1_trade_w_strategy_r_, trade_ipc_addr)


# 主服务
def createServer(pipe):
    logger_system.info("create Server")
    laddr = "", 9001
    try:
        tcpserver = server.MyThreadingTCPServer(laddr, server.MyBaseRequestHandle,
                                                pipe_trade=pipe)  # 注意：参数是MyBaseRequestHandle
        tcpserver.serve_forever()
    except Exception as e:
        logger_system.exception(e)
        logger_system.error(f"端口服务器：{laddr[1]} 启动失败")


def createDataServer():
    logger_system.info("create DataServer")
    logger_system.info(f"createDataServer 线程ID:{tool.get_thread_id()}")
    tcpserver = data_server.run("", 9004)
    tcpserver.serve_forever()
    try:
        tcpserver.serve_forever()
    except Exception as e:
        logger_system.exception(e)
        logger_system.error(f"端口服务器：{9004} 启动失败")


if __name__ == '__main__1':
    huaxin_client.l2_client.test()

if __name__ == '__main__':
    try:
        logger_l2_trade.info("启动程序")
        logger_system.info("启动程序--------")
        log.close_print()
        # 策略与server间的通信
        pss_server, pss_strategy = multiprocessing.Pipe()

        # L2读其他写
        queue_other_w_l2_r = multiprocessing.Queue()
        # l1
        queue_l1_w_strategy_r = multiprocessing.Queue()
        queue_l1_r_strategy_w = multiprocessing.Queue()
        # l1交易
        queue_l1_trade_w_strategy_r = multiprocessing.Queue()
        queue_l1_trade_r_strategy_w = multiprocessing.Queue()

        # 交易读策略写
        queue_strategy_w_trade_r = multiprocessing.Queue()
        queue_strategy_w_trade_r_for_read = multiprocessing.Queue()
        # 策略读交易写
        queue_strategy_r_trade_w = multiprocessing.Queue()

        # 下单,撤单ipc地址
        order_ipc_addr, cancel_order_ipc_addr = "ipc://trade_order.ipc", "ipc://trade_cancel_order.ipc"

        # 托管环境下不创建
        # serverProcess = multiprocessing.Process(target=createServer, args=(pss_server,))
        # serverProcess.start()
        logger_system.info("主进程ID：{}", os.getpid())

        # L1订阅数据
        l1Process = multiprocessing.Process(target=huaxin_client.l1_client.run,
                                            args=(queue_l1_w_strategy_r, queue_l1_r_strategy_w,))
        l1Process.start()

        l1TradeProcess = multiprocessing.Process(target=huaxin_client.l1_client_for_trade.run,
                                                 args=(queue_l1_trade_w_strategy_r, queue_l1_trade_r_strategy_w,))
        l1TradeProcess.start()

        l2MarketProcess = multiprocessing.Process(target=l2_market_client.run,
                                                  args=(queue_l1_w_strategy_r,))
        l2MarketProcess.start()

        # 交易进程
        tradeProcess = multiprocessing.Process(
            target=huaxin_client.trade_client.run,
            args=(order_ipc_addr, cancel_order_ipc_addr, queue_strategy_r_trade_w, queue_strategy_w_trade_r,
                  queue_strategy_w_trade_r_for_read))
        tradeProcess.start()
        # 此处将L2的进程与策略进程合并
        # L2
        # l2Process = multiprocessing.Process(
        #     target=huaxin_client.l2_client.run,
        #     args=(queue_other_w_l2_r, order_queues, transaction_queues, market_queue, order_ipc_hosts,huaxin_trade_server.my_l2_data_callback))
        # l2Process.start()
        # 将L2的进程改为进程执行
        threading.Thread(target=huaxin_client.l2_client.run, args=(
            queue_other_w_l2_r, huaxin_trade_server.my_l2_data_callbacks), daemon=True).start()

        # 主进程
        createTradeServer(pss_strategy, queue_strategy_r_trade_w, queue_l1_w_strategy_r, queue_strategy_w_trade_r,
                          queue_strategy_w_trade_r_for_read, queue_l1_trade_r_strategy_w,
                          queue_l1_trade_w_strategy_r, (order_ipc_addr, cancel_order_ipc_addr))

        # 将tradeServer作为主进程
        l1Process.join()
        # l2Process.join()
        tradeProcess.join()
    except Exception as e:
        logging.exception(e)
        logger_system.exception(e)