Python 中带有参数的 Lauch 函数作为线程

Question

我正在尝试将此程序作为程序中的无限线程启动 https://github.com/qLethon/bitmex_simple_websocket

from bitmex_simple_websocket import BitMEXWebSocket
import json

class MyBitMEXWebsocket(BitMEXWebSocket):
    def on_message(self, ws, message):
        data = json.loads(message)
        if 'table' in data and data['table'] == 'tradeBin1m':
            print(data['data'][0])

bitmex = MyBitMEXWebsocket(endpoint='wss://www.bitmex.com/realtime?subscribe=tradeBin1m:XBTUSD')

如何在

中启动它

if __name__ == '__main__':

作为线程正确

在我当前的代码中，只有第一个线程 myBitMEXWebsocket 函数启动，但是 tradingview 和 trader 不会

if __name__ == '__main__':
                Thread(target = MyBitMEXWebsocket(endpoint='wss://www.bitmex.com/realtime?subscribe=quote:XBTUSD')).start()
                Thread(target = tradingview).start()  
                for count_var_short, count_var_long in tradingview():
                        trader(count_var_short,count_var_long)

Answer 1

解决了，我问了github作者，他给出了这个答案

class MyBitMEXWebsocket(BitMEXWebSocket):
    def on_message(self, ws, message):
        data = json.loads(message)
        if 'table' in data and data['table'] == 'quote':
                print(data['data'][0])
                WS_BestBid = (data['data'][0]["bidPrice"])
                WS_BestAsk = (data['data'][0]["askPrice"])
                        #print('bid:',WS_BestBid)
                        #print('ask:',WS_BestAsk)
                        #print('bid:',data['data'][0]["bidPrice"])
                        #print('ask:',data['data'][0]["askPrice"])
def f():

        MyBitMEXWebsocket(endpoint='wss://www.bitmex.com/realtime?subscribe=quote:XBTUSD,order:XBTUSD') 
        th1 = threading.Thread(target=f)
        th1.start() 

if __name__ == '__main__':

            Thread(target = f).start()  
            Thread(target = tradingview).start()  
            for count_var_short, count_var_long in tradingview():
                    trader(count_var_short,count_var_long)

Python 中带有参数的 Lauch 函数作为线程

Lauch function with arguments as a thread in Python

python

arguments

function

python-multithreading

python-3.x