报错信息:
Traceback (most recent call last): File “D:/flaskProject/test.py”, line 35, in test pool.apply(self.out, args=(i,)) File “Python37-32libmultiprocessingpool.py”, line 261, in apply return self.apply_async(func, args, kwds).get() File “libmultiprocessingpool.py”, line 657, in get raise self._value File “Python37-32libmultiprocessingpool.py”, line 431, in _handle_tasks put(task) File “Python37-32libmultiprocessingconnection.py”, line 206, in send self._send_bytes(_ForkingPickler.dumps(obj)) File “*Python37-32libmultiprocessingreduction.py”, line 51, in dumps cls(buf, protocol).dump(obj) TypeError: can’t pickle _thread._local objects
原类的构造函数:
代码语言:javascript复制class threadtest:
def __init__(self, ipList, user, password):
self.ipList = ipList
self.httpAuth = HTTPDigestAuth(user, password)
return
def out(self, i):
url = "http://" i "/name"
response = requests.get(url, self.httpAuth)
print(response.text)
return
def test(self):
pool = Pool(processes=2)
for i in self.ipList:
pool.apply(self.out, args=(i,))
pool.close()
pool.join()
return
代码语言:javascript复制if name == ‘main':
ipList = [‘192.168.2.1', ‘192.168.2.2', ‘192.168.2.3', ‘192.168.2.4', ‘192.168.2.5', ]
a = threadtest(ipList, ‘admin', ‘admin')
a.test()
原因:
在class中对属性进行初始化使用了其它类返回的句柄进行初始化导致,HTTPDigestAuth的返回值不能进行序列化,也就是不能作为cls(buf, protocol).dump(obj)的参数进行序列化。
将self.httpAuth = HTTPDigestAuth(httpUser, httpPassword)修改为:
self.httpUser self.httpPassword
并将函数HTTPDigestAuth放到类的方法中
修改后:
代码语言:javascript复制class threadtest:
def __init__(self, ipList, user, password):
self.ipList = ipList
self.user = user
self.password = password
return
def out(self, i):
url = "http://" i "/name"
response = requests.get(url, HTTPDigestAuth(self.user, self.password))
print(response.text)
return
def test(self):
pool = Pool(processes=2)
for i in self.ipList:
pool.apply(self.out, args=(i,))
pool.close()
pool.join()
return
代码语言:javascript复制if name == ‘main':
ipList = [‘192.168.2.1', ‘192.168.2.2', ‘192.168.2.3', ‘192.168.2.4', ‘192.168.2.5', ]
a = threadtest(ipList, ‘admin', ‘admin')
a.test()
以上这篇解决python多线程报错:AttributeError: Can’t pickle local object问题就是小编分享给大家的全部内容了,希望能给大家一个参考。