python多线程报错AttributeError: Can't pickle local object问题解决方法

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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：

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

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：

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

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()