解决python多线程报错:AttributeError: Cant pickle local object问题
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 “Python37-32\lib\multiprocessing\pool.py", line 261, in apply
return self.apply_async(func, args, kwds).get()
File "\lib\multiprocessing\pool.py”, line 657, in get
raise self._value
File “\Python37-32\lib\multiprocessing\pool.py", line 431, in _handle_tasks
put(task)
File "\Python37-32\lib\multiprocessing\connection.py”, line 206, in send
self._send_bytes(_ForkingPickler.dumps(obj))
File “*\Python37-32\lib\multiprocessing\reduction.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()
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