使用python进行websocket的客户端压力测试，这个代码是从github上 找到。然后简单修改了下。大神运用了进程池，以及线程池的内容。所以保存下来，学习学习
然后需要说明的是：本次用的python2.7，也尝试用python3.6，但是老实出现websocket-client包和python3不能兼容的情况，提示没有相关的方法。所以不得已最后又采用了python2
# -*- coding:utf-8 -*-
# __author__ == 'chenmingle'
import websocket
import time
import threading
import json
import multiprocessing
import uuid
from threadpool import ThreadPool, makeRequests
# 修改成自己的websocket地址
WS_URL = "xxxx"
# 定义进程数
processes = 4
# 定义线程数（每个文件可能限制1024个，可以修改fs.file等参数）
thread_num = 700
index = 1
def on_message(ws, message):
# print(message)
pass
def on_error(ws, error):
print(error)
pass
def on_close(ws):
# print("### closed ###")
pass
def on_open(ws):
global index
index = index + 1
def send_thread():
# 设置你websocket的内容
# 每隔10秒发送一下数据使链接不中断
while True:
ws.send(u'hello服务器')
time.sleep(10)
t = threading.Thread(target=send_thread)
t.start()
def on_start(num):
time.sleep(5)
# websocket.enableTrace(True)
ws = websocket.WebSocketApp(WS_URL + str(num),
on_message=on_message,
on_error=on_error,
on_close=on_close)
ws.on_open = on_open
ws.run_forever()
def thread_web_socket():
# 线程池
pool_list = ThreadPool(thread_num)
num = list()
# 设置开启线程的数量
for ir in range(thread_num):
num.append(ir)
requests = makeRequests(on_start, num)
[pool_list.putRequest(req) for req in requests]
pool_list.wait()
if __name__ == "__main__":
# 进程池
pool = multiprocessing.Pool(processes=processes)
# 设置开启进程的数量
for i in xrange(processes):
pool.apply_async(thread_web_socket)
pool.close()
pool.join()
