Qthread锁定了Gui PySide

时间:2015-10-15 11:47:53

标签: python multithreading pyside qthread

我试图在一个单独的线程中运行一个进程,但它冻结了我的Gui,我无法理解为什么。

我在我的类的init函数中初始化线程:

self.cipher = Cipher()
self.cipher_thread = QThread()
self.cipher.moveToThread(self.cipher_thread)

self.cipher_thread.started.connect(lambda: self.cipher.encrypt(self.plaintext_file_path,
                                                                       self.ciphertext_file_path,
                                                                       self.init_vector,
                                                                       self.key))

self.cipher_thread.start()

密码类的加密方法是:

def encrypt(self):
    # check that both the key and the initialisation vector are 16 bytes long
    if len(self.k) == self.key_byte_length and len(self.init_vector) == self.byte_length:
        if not self.used:
            self.used = True

            # get the padding bytes and store in a list
            self.padding_bytes = self.__getPaddingBytes()

            # generate sub keys
            # initial subkey is first four words from key
            init_subkey_words = []
            for i in range(0, self.key_byte_length-3,4):
                init_subkey_words.append(self.k[i:i+4])

            self.__genSubKeys(init_subkey_words)

            # read file and append the padding to it
            with open(self.plaintext_file_path, 'rb') as f:
                self.plaintext_data = bytearray(f.read())
            self.plaintext_data += self.padding_bytes

            # set total size
            self.total_size_bytes = len(self.plaintext_data)

            # insert the initialisation vector as the first 16 bytes in the ciphertext data
            self.ciphertext_data = self.init_vector

            '''
            begin encryption
            --------------------------------------------------------------------------------------------------------
            '''
            self.start_time = datetime.datetime.now()
            # loop through the file 16 bytes at a time
            for i in range(0, int(len(self.plaintext_data)), self.byte_length):  # i increases by 16 each loop
                # if self.block_time is not None:
                    # print('block time is', datetime.datetime.now()-self.block_time)
                self.block_time = datetime.datetime.now()

                # set the 16 byte state - bytearray Object
                state = copy.deepcopy(self.plaintext_data[i:i+self.byte_length])

                # xor the state with the initialisation vector and first subkey
                for j in range(self.byte_length):
                    state[j] ^= self.init_vector[j]
                    state[j] ^= self.sub_keys[0][j]

                # round start
                # --------------------------------------------------------------------------------------------------
                for j in range(self.num_rounds):
                    self.current_round += 1     # increment current round counter

                    '''
                    arrange the data into a 4x4 matrix
                    [[1, 5, 9, 13],
                    [2, 6, 10, 14],
                    [3, 7, 11, 15],
                    [4, 8, 12, 16]]
                    '''
                    state_matrix = np.array(state)
                    state_matrix.resize(4, 4)
                    state_matrix.swapaxes(0, 1)

                    # byte substitution
                    # ----------------------------------------------------------------------------------------------
                    for row in state_matrix:
                        for byte in row:
                            byte = self.__sBoxSubstitution(byte)

                    # shift row - row k shifts left k places
                    # ----------------------------------------------------------------------------------------------
                    state_matrix = state_matrix.tolist()
                    for row in range(1, 4):
                        for l in range(0, row):
                            state_matrix[row].append(state_matrix[row].pop(0))
                    state_matrix = np.array(state_matrix)


                    # mix column - not included in last round
                    # ----------------------------------------------------------------------------------------------
                    if self.current_round is not self.num_rounds:
                        # swap axes of state matrix
                        state_matrix.swapaxes(0, 1)

                        # create temporary holder for the computed values
                        mixed_col_bytes = [[], [], [], []]

                        for k in range(4):
                            for l in range(4):
                                mixed_col_bytes[k].append(
                                    self.__GFMult(self.MIX_COL_MATRIX[l][0], state_matrix[k][0]) ^
                                    self.__GFMult(self.MIX_COL_MATRIX[l][1], state_matrix[k][1]) ^
                                    self.__GFMult(self.MIX_COL_MATRIX[l][2], state_matrix[k][2]) ^
                                    self.__GFMult(self.MIX_COL_MATRIX[l][3], state_matrix[k][3]))

                        # restore state matrix from temporary holder and swap axes back
                        state_matrix = np.array(copy.deepcopy(mixed_col_bytes))
                        state_matrix.swapaxes(0, 1)

                    # restore single bytearray state
                    state_matrix = state_matrix.flatten()
                    state_matrix = state_matrix.tolist()
                    state = bytearray(state_matrix)

                    # key addition
                    # ----------------------------------------------------------------------------------------------
                    for k in range(self.byte_length):
                        state[k] ^= self.sub_keys[self.current_round][k]

                self.ciphertext_data += state                    # append state to ciphertext data
                self.init_vector = self.ciphertext_data[-16:]    # update the initialisation vector
                self.current_round = 0                           # reset current round number
                self.completed_size_bytes += self.byte_length
                self.percent_done = (self.completed_size_bytes/self.total_size_bytes)*100

                self.updateProgressSig.emit(int(self.percent_done))
            # finish encryption
            self.__saveEncryptedData()
            print('total encryption time:', datetime.datetime.now() - self.start_time)
            # finish
            self.finish(self.ciphertext_file_path)

    # either the key of the initialisation vector are not the correct length
    else:
        print(' either the key length or initialisation vector is the wrong length')
        print('---')
        print('key length:', len(self.k))
        print('iv length:', len(self.init_vector))

2 个答案:

答案 0 :(得分:1)

您遇到的问题是您连接到started信号的功能未在线程中运行,它在设置位置的上下文中运行,这似乎是您的UI线程。

通常您希望创建一个继承自QThread的自定义类,并且您要执行的任何代码都将位于该类的run()函数中。像这样:

class MyTask(QThread):
  def __init__ (self):
    QThread.__init__(self)

  def run(self):
    print("Code to run in the thread goes here.")

如果这看起来有点矫枉过正,你可以将self.cipher_thread.run的值设置为你自己的函数。这是一个例子:

import time
from PySide.QtCore import QThread
from PySide import QtGui

app = QtGui.QApplication("")

def main():
  task = SomeTask()
  thread = QThread()

  # Just some variables to pass into the task
  a, b, c = (1, 2, 3)
  thread.run = lambda: task.runTask(a, b, c)


  print("Starting thread")
  thread.start()

  # Doing this so the application does not exit while we wait for the thread to complete.
  while not thread.isFinished():
    time.sleep(1)

  print("Thread complete")

class SomeTask():
  def runTask(self, a, b, c):
    print a, b, c
    print("runTask Started")
    time.sleep(5)
    print("runTask Complete")


if __name__ == "__main__":
  main()

答案 1 :(得分:0)

正如Ekhumoro所说,我遇到了与GIL有关的问题。使用Multiprocessing模块对我有用。