我想在与其余代码不同的线程中运行进度条,但我想控制进度条如何从主线程更新。
这是可能的吗?
这是我到目前为止所做的:
import time
from PySide import QtGui
from PySide import QtCore
from PySide import QtUiTools
class progressBar(QtGui.QDialog, QtCore.QThread):
def __init__(self, window, title=None):
super(progressBar, self).__init__(window)
QtCore.QThread.__init__(self)
self.title = title or 'Progress'
self.setupUi()
self.show()
def setupUi(self):
self.setObjectName("Thinking")
self.gridLayout = QtGui.QGridLayout(self)
self.gridLayout.setObjectName("gridLayout")
self.progressBar = QtGui.QProgressBar(self)
self.gridLayout.addWidget(self.progressBar, 0, 0, 1, 1)
# ADJUSTMENTS
self.setMaximumSize(280, 50)
self.setMinimumSize(280, 50)
self.setWindowTitle(self.title)
def increase(self, inc):
self.progressBar.setProperty("value", inc)
time.sleep(0.01)
def run(self):
for i in range(1,101):
self.increase(i)
progressThread = progressBar(QtGui.QApplication.activeWindow())
progressThread.start()
这似乎是在线程内部正确运行进度条,但它完全由运行函数控制。
我尝试删除run函数并将此代码添加到我的主线程中:
progressThread = progressBar(QtGui.QApplication.activeWindow())
progressThread.start()
for i in range(1,101):
progressThread.increase(i)
但这似乎不起作用。
对此的任何帮助都会很棒......谢谢
答案 0 :(得分:1)
我相信bnaecker,Brendan Abel和Steve Cohen已经在评论中向您提供了关键信息。 正如他们已经说过的那样,只要UI在主线程上运行,你就可以在单独的线程中运行你的进度条和你的逻辑。
这是一个应该按照你想要的方式运作的例子:
import time, random
import threading
from PySide import QtCore, QtGui
class ProgressWidget(QtGui.QWidget):
# just for the purpose of this example,
# define a fixed number of threads to run
nthreads = 6
def __init__(self):
super(ProgressWidget, self).__init__()
self.threads = []
self.workers = []
self.works = [0 for i in range(self.nthreads)]
self.setupUi()
self.setupWorkers()
self.runThreads()
def drawProgessBar(self):
self.progressBar = QtGui.QProgressBar(self)
self.progressBar.setGeometry(QtCore.QRect(20, 20, 582, 24))
self.progressBar.minimum = 1
self.progressBar.maximum = 100
self.progressBar.setValue(0)
def setupUi(self):
self.setWindowTitle("Threaded Progress")
self.resize(600, 60)
self.drawProgessBar()
def buildWorker(self, index):
"""a generic function to build multiple workers;
workers will run on separate threads and emit signals
to the ProgressWidget, which lives in the main thread
"""
thread = QtCore.QThread()
worker = Worker(index)
worker.updateProgress.connect(self.handleProgress)
worker.moveToThread(thread)
thread.started.connect(worker.work)
worker.finished.connect(thread.quit)
QtCore.QMetaObject.connectSlotsByName(self)
# retain a reference in the main thread
self.threads.append(thread)
self.workers.append(worker)
def setupWorkers(self):
for i in range(self.nthreads):
self.buildWorker(i)
def runThreads(self):
for thread in self.threads:
thread.start()
def handleProgress(self, signal):
"""you can add any logic you want here,
it will be executed in the main thread
"""
index, progress = signal
self.works[index] = progress
value = 0
for work in self.works:
value += work
value /= float(self.nthreads)
# management of special cases
if value >= 100:
self.progressBar.hide()
return
# else
self.progressBar.setValue(value)
print 'progress (ui) thread: %s (value: %d)' % (threading.current_thread().name, value)
class Worker(QtCore.QObject):
"""the worker for a threaded process;
(this is created in the main thread and
then moved to a QThread, before starting it)
"""
updateProgress = QtCore.Signal(tuple)
finished = QtCore.Signal(int)
def __init__(self, index):
super(Worker, self).__init__()
# store the Worker index (for thread tracking
# and to compute the overall progress)
self.id = index
def work(self):
for i in range(100):
print 'worker thread: %s' % (threading.current_thread().name, )
# simulate some processing time
time.sleep(random.random() * .2)
# emit progress signal
self.updateProgress.emit((self.id, i + 1))
# emit finish signal
self.finished.emit(1)
if __name__ == "__main__":
import sys
app = QtGui.QApplication(sys.argv)
ui = ProgressWidget()
ui.show()
sys.exit(app.exec_())
这是一个最小的细分:
moveToThread
方法将它们传递给QThreads(工作者需要子类QObject
才能使该方法可用)旁注:在控制台中,工人'输出是指" dummy"线程。这似乎与threading
模块不了解QThreads(这是我从here获得的信息这一事实有关)。
但是,似乎足以证明工人'任务在不同的线程上运行。如果有人获得更准确的信息,请随意扩展。
对于那些想要阅读更多关于此主题的人,here is a link许多文章都提到了这些内容。