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I have a program which interfaces with a radio I am using via a gui I wrote in PyQt. Obviously one of the main functions of the radio is to transmit data, but to do this continuously, I have to loop the writes, which causes the gui to hang. Since I have never dealt with threading, I tried to get rid of these hangs using QCoreApplication.processEvents(). The radio needs to sleep between transmissions, though, so the gui still hangs based on how long these sleeps last.
Is there a simple way to fix this using QThread? I have looked for tutorials on how to implement multithreading with PyQt, but most of them deal with setting up servers and are much more advanced than I need them to be. I honestly don't even really need my thread to update anything while it is running, I just need to start it, have it transmit in the background, and stop it.
I created a little example that shows 3 different and simple ways of dealing with threads. I hope it will help you find the right approach to your problem.
import sys
import time
from PyQt5.QtCore import (QCoreApplication, QObject, QRunnable, QThread,
QThreadPool, pyqtSignal)
# Subclassing QThread
# http://qt-project.org/doc/latest/qthread.html
class AThread(QThread):
def run(self):
count = 0
while count < 5:
time.sleep(1)
print("A Increasing")
count += 1
# Subclassing QObject and using moveToThread
# http://blog.qt.digia.com/blog/2007/07/05/qthreads-no-longer-abstract
class SomeObject(QObject):
finished = pyqtSignal()
def long_running(self):
count = 0
while count < 5:
time.sleep(1)
print("B Increasing")
count += 1
self.finished.emit()
# Using a QRunnable
# http://qt-project.org/doc/latest/qthreadpool.html
# Note that a QRunnable isn't a subclass of QObject and therefore does
# not provide signals and slots.
class Runnable(QRunnable):
def run(self):
count = 0
app = QCoreApplication.instance()
while count < 5:
print("C Increasing")
time.sleep(1)
count += 1
app.quit()
def using_q_thread():
app = QCoreApplication([])
thread = AThread()
thread.finished.connect(app.exit)
thread.start()
sys.exit(app.exec_())
def using_move_to_thread():
app = QCoreApplication([])
objThread = QThread()
obj = SomeObject()
obj.moveToThread(objThread)
obj.finished.connect(objThread.quit)
objThread.started.connect(obj.long_running)
objThread.finished.connect(app.exit)
objThread.start()
sys.exit(app.exec_())
def using_q_runnable():
app = QCoreApplication([])
runnable = Runnable()
QThreadPool.globalInstance().start(runnable)
sys.exit(app.exec_())
if __name__ == "__main__":
#using_q_thread()
#using_move_to_thread()
using_q_runnable()
Take this answer updated for PyQt5, python 3.4
Use this as a pattern to start a worker that does not take data and return data as they are available to the form.
1 - Worker class is made smaller and put in its own file worker.py for easy memorization and independent software reuse.
2 - The main.py file is the file that defines the GUI Form class
3 - The thread object is not subclassed.
4 - Both thread object and the worker object belong to the Form object
5 - Steps of the procedure are within the comments.
# worker.py
from PyQt5.QtCore import QThread, QObject, pyqtSignal, pyqtSlot
import time
class Worker(QObject):
finished = pyqtSignal()
intReady = pyqtSignal(int)
#pyqtSlot()
def procCounter(self): # A slot takes no params
for i in range(1, 100):
time.sleep(1)
self.intReady.emit(i)
self.finished.emit()
And the main file is:
# main.py
from PyQt5.QtCore import QThread
from PyQt5.QtWidgets import QApplication, QLabel, QWidget, QGridLayout
import sys
import worker
class Form(QWidget):
def __init__(self):
super().__init__()
self.label = QLabel("0")
# 1 - create Worker and Thread inside the Form
self.obj = worker.Worker() # no parent!
self.thread = QThread() # no parent!
# 2 - Connect Worker`s Signals to Form method slots to post data.
self.obj.intReady.connect(self.onIntReady)
# 3 - Move the Worker object to the Thread object
self.obj.moveToThread(self.thread)
# 4 - Connect Worker Signals to the Thread slots
self.obj.finished.connect(self.thread.quit)
# 5 - Connect Thread started signal to Worker operational slot method
self.thread.started.connect(self.obj.procCounter)
# * - Thread finished signal will close the app if you want!
#self.thread.finished.connect(app.exit)
# 6 - Start the thread
self.thread.start()
# 7 - Start the form
self.initUI()
def initUI(self):
grid = QGridLayout()
self.setLayout(grid)
grid.addWidget(self.label,0,0)
self.move(300, 150)
self.setWindowTitle('thread test')
self.show()
def onIntReady(self, i):
self.label.setText("{}".format(i))
#print(i)
app = QApplication(sys.argv)
form = Form()
sys.exit(app.exec_())
According to the Qt developers, subclassing QThread is incorrect (see http://blog.qt.io/blog/2010/06/17/youre-doing-it-wrong/). But that article is really hard to understand (plus the title is a bit condescending). I found a better blog post that gives a more detailed explanation about why you should use one style of threading over another: http://mayaposch.wordpress.com/2011/11/01/how-to-really-truly-use-qthreads-the-full-explanation/
Also, I would highly recommend this video from KDAB on signals and slots between threads.
In my opinion, you should probably never subclass thread with the intent to overload the run method. While that does work, you're basically circumventing how Qt wants you to work. Plus you'll miss out on things like events and proper thread safe signals and slots. Plus as you'll likely see in the above blog post, the "correct" way of threading forces you to write more testable code.
Here's a couple of examples of how to take advantage of QThreads in PyQt (I posted a separate answer below that properly uses QRunnable and incorporates signals/slots, that answer is better if you have a lot of async tasks that you need to load balance).
import sys
from PyQt4 import QtCore
from PyQt4 import QtGui
from PyQt4.QtCore import Qt
# very testable class (hint: you can use mock.Mock for the signals)
class Worker(QtCore.QObject):
finished = QtCore.pyqtSignal()
dataReady = QtCore.pyqtSignal(list, dict)
#QtCore.pyqtSlot()
def processA(self):
print "Worker.processA()"
self.finished.emit()
#QtCore.pyqtSlot(str, list, list)
def processB(self, foo, bar=None, baz=None):
print "Worker.processB()"
for thing in bar:
# lots of processing...
self.dataReady.emit(['dummy', 'data'], {'dummy': ['data']})
self.finished.emit()
class Thread(QtCore.QThread):
"""Need for PyQt4 <= 4.6 only"""
def __init__(self, parent=None):
QtCore.QThread.__init__(self, parent)
# this class is solely needed for these two methods, there
# appears to be a bug in PyQt 4.6 that requires you to
# explicitly call run and start from the subclass in order
# to get the thread to actually start an event loop
def start(self):
QtCore.QThread.start(self)
def run(self):
QtCore.QThread.run(self)
app = QtGui.QApplication(sys.argv)
thread = Thread() # no parent!
obj = Worker() # no parent!
obj.moveToThread(thread)
# if you want the thread to stop after the worker is done
# you can always call thread.start() again later
obj.finished.connect(thread.quit)
# one way to do it is to start processing as soon as the thread starts
# this is okay in some cases... but makes it harder to send data to
# the worker object from the main gui thread. As you can see I'm calling
# processA() which takes no arguments
thread.started.connect(obj.processA)
thread.start()
# another way to do it, which is a bit fancier, allows you to talk back and
# forth with the object in a thread safe way by communicating through signals
# and slots (now that the thread is running I can start calling methods on
# the worker object)
QtCore.QMetaObject.invokeMethod(obj, 'processB', Qt.QueuedConnection,
QtCore.Q_ARG(str, "Hello World!"),
QtCore.Q_ARG(list, ["args", 0, 1]),
QtCore.Q_ARG(list, []))
# that looks a bit scary, but its a totally ok thing to do in Qt,
# we're simply using the system that Signals and Slots are built on top of,
# the QMetaObject, to make it act like we safely emitted a signal for
# the worker thread to pick up when its event loop resumes (so if its doing
# a bunch of work you can call this method 10 times and it will just queue
# up the calls. Note: PyQt > 4.6 will not allow you to pass in a None
# instead of an empty list, it has stricter type checking
app.exec_()
# Without this you may get weird QThread messages in the shell on exit
app.deleteLater()
Very nice example from Matt, I fixed the typo and also pyqt4.8 is common now so I removed the dummy class as well and added an example for the dataReady signal
# -*- coding: utf-8 -*-
import sys
from PyQt4 import QtCore, QtGui
from PyQt4.QtCore import Qt
# very testable class (hint: you can use mock.Mock for the signals)
class Worker(QtCore.QObject):
finished = QtCore.pyqtSignal()
dataReady = QtCore.pyqtSignal(list, dict)
#QtCore.pyqtSlot()
def processA(self):
print "Worker.processA()"
self.finished.emit()
#QtCore.pyqtSlot(str, list, list)
def processB(self, foo, bar=None, baz=None):
print "Worker.processB()"
for thing in bar:
# lots of processing...
self.dataReady.emit(['dummy', 'data'], {'dummy': ['data']})
self.finished.emit()
def onDataReady(aList, aDict):
print 'onDataReady'
print repr(aList)
print repr(aDict)
app = QtGui.QApplication(sys.argv)
thread = QtCore.QThread() # no parent!
obj = Worker() # no parent!
obj.dataReady.connect(onDataReady)
obj.moveToThread(thread)
# if you want the thread to stop after the worker is done
# you can always call thread.start() again later
obj.finished.connect(thread.quit)
# one way to do it is to start processing as soon as the thread starts
# this is okay in some cases... but makes it harder to send data to
# the worker object from the main gui thread. As you can see I'm calling
# processA() which takes no arguments
thread.started.connect(obj.processA)
thread.finished.connect(app.exit)
thread.start()
# another way to do it, which is a bit fancier, allows you to talk back and
# forth with the object in a thread safe way by communicating through signals
# and slots (now that the thread is running I can start calling methods on
# the worker object)
QtCore.QMetaObject.invokeMethod(obj, 'processB', Qt.QueuedConnection,
QtCore.Q_ARG(str, "Hello World!"),
QtCore.Q_ARG(list, ["args", 0, 1]),
QtCore.Q_ARG(list, []))
# that looks a bit scary, but its a totally ok thing to do in Qt,
# we're simply using the system that Signals and Slots are built on top of,
# the QMetaObject, to make it act like we safely emitted a signal for
# the worker thread to pick up when its event loop resumes (so if its doing
# a bunch of work you can call this method 10 times and it will just queue
# up the calls. Note: PyQt > 4.6 will not allow you to pass in a None
# instead of an empty list, it has stricter type checking
app.exec_()
In PyQt there are a lot of options for getting asynchronous behavior. For things that need event processing (ie. QtNetwork, etc) you should use the QThread example I provided in my other answer on this thread. But for the vast majority of your threading needs, I think this solution is far superior than the other methods.
The advantage of this is that the QThreadPool schedules your QRunnable instances as tasks. This is similar to the task pattern used in Intel's TBB. It's not quite as elegant as I like but it does pull off excellent asynchronous behavior.
This allows you to utilize most of the threading power of Qt in Python via QRunnable and still take advantage of signals and slots. I use this same code in several applications, some that make hundreds of asynchronous REST calls, some that open files or list directories, and the best part is using this method, Qt task balances the system resources for me.
import time
from PyQt4 import QtCore
from PyQt4 import QtGui
from PyQt4.QtCore import Qt
def async(method, args, uid, readycb, errorcb=None):
"""
Asynchronously runs a task
:param func method: the method to run in a thread
:param object uid: a unique identifier for this task (used for verification)
:param slot updatecb: the callback when data is receieved cb(uid, data)
:param slot errorcb: the callback when there is an error cb(uid, errmsg)
The uid option is useful when the calling code makes multiple async calls
and the callbacks need some context about what was sent to the async method.
For example, if you use this method to thread a long running database call
and the user decides they want to cancel it and start a different one, the
first one may complete before you have a chance to cancel the task. In that
case, the "readycb" will be called with the cancelled task's data. The uid
can be used to differentiate those two calls (ie. using the sql query).
:returns: Request instance
"""
request = Request(method, args, uid, readycb, errorcb)
QtCore.QThreadPool.globalInstance().start(request)
return request
class Request(QtCore.QRunnable):
"""
A Qt object that represents an asynchronous task
:param func method: the method to call
:param list args: list of arguments to pass to method
:param object uid: a unique identifier (used for verification)
:param slot readycb: the callback used when data is receieved
:param slot errorcb: the callback used when there is an error
The uid param is sent to your error and update callbacks as the
first argument. It's there to verify the data you're returning
After created it should be used by invoking:
.. code-block:: python
task = Request(...)
QtCore.QThreadPool.globalInstance().start(task)
"""
INSTANCES = []
FINISHED = []
def __init__(self, method, args, uid, readycb, errorcb=None):
super(Request, self).__init__()
self.setAutoDelete(True)
self.cancelled = False
self.method = method
self.args = args
self.uid = uid
self.dataReady = readycb
self.dataError = errorcb
Request.INSTANCES.append(self)
# release all of the finished tasks
Request.FINISHED = []
def run(self):
"""
Method automatically called by Qt when the runnable is ready to run.
This will run in a separate thread.
"""
# this allows us to "cancel" queued tasks if needed, should be done
# on shutdown to prevent the app from hanging
if self.cancelled:
self.cleanup()
return
# runs in a separate thread, for proper async signal/slot behavior
# the object that emits the signals must be created in this thread.
# Its not possible to run grabber.moveToThread(QThread.currentThread())
# so to get this QObject to properly exhibit asynchronous
# signal and slot behavior it needs to live in the thread that
# we're running in, creating the object from within this thread
# is an easy way to do that.
grabber = Requester()
grabber.Loaded.connect(self.dataReady, Qt.QueuedConnection)
if self.dataError is not None:
grabber.Error.connect(self.dataError, Qt.QueuedConnection)
try:
result = self.method(*self.args)
if self.cancelled:
# cleanup happens in 'finally' statement
return
grabber.Loaded.emit(self.uid, result)
except Exception as error:
if self.cancelled:
# cleanup happens in 'finally' statement
return
grabber.Error.emit(self.uid, unicode(error))
finally:
# this will run even if one of the above return statements
# is executed inside of the try/except statement see:
# https://docs.python.org/2.7/tutorial/errors.html#defining-clean-up-actions
self.cleanup(grabber)
def cleanup(self, grabber=None):
# remove references to any object or method for proper ref counting
self.method = None
self.args = None
self.uid = None
self.dataReady = None
self.dataError = None
if grabber is not None:
grabber.deleteLater()
# make sure this python obj gets cleaned up
self.remove()
def remove(self):
try:
Request.INSTANCES.remove(self)
# when the next request is created, it will clean this one up
# this will help us avoid this object being cleaned up
# when it's still being used
Request.FINISHED.append(self)
except ValueError:
# there might be a race condition on shutdown, when shutdown()
# is called while the thread is still running and the instance
# has already been removed from the list
return
#staticmethod
def shutdown():
for inst in Request.INSTANCES:
inst.cancelled = True
Request.INSTANCES = []
Request.FINISHED = []
class Requester(QtCore.QObject):
"""
A simple object designed to be used in a separate thread to allow
for asynchronous data fetching
"""
#
# Signals
#
Error = QtCore.pyqtSignal(object, unicode)
"""
Emitted if the fetch fails for any reason
:param unicode uid: an id to identify this request
:param unicode error: the error message
"""
Loaded = QtCore.pyqtSignal(object, object)
"""
Emitted whenever data comes back successfully
:param unicode uid: an id to identify this request
:param list data: the json list returned from the GET
"""
NetworkConnectionError = QtCore.pyqtSignal(unicode)
"""
Emitted when the task fails due to a network connection error
:param unicode message: network connection error message
"""
def __init__(self, parent=None):
super(Requester, self).__init__(parent)
class ExampleObject(QtCore.QObject):
def __init__(self, parent=None):
super(ExampleObject, self).__init__(parent)
self.uid = 0
self.request = None
def ready_callback(self, uid, result):
if uid != self.uid:
return
print "Data ready from %s: %s" % (uid, result)
def error_callback(self, uid, error):
if uid != self.uid:
return
print "Data error from %s: %s" % (uid, error)
def fetch(self):
if self.request is not None:
# cancel any pending requests
self.request.cancelled = True
self.request = None
self.uid += 1
self.request = async(slow_method, ["arg1", "arg2"], self.uid,
self.ready_callback,
self.error_callback)
def slow_method(arg1, arg2):
print "Starting slow method"
time.sleep(1)
return arg1 + arg2
if __name__ == "__main__":
import sys
app = QtGui.QApplication(sys.argv)
obj = ExampleObject()
dialog = QtGui.QDialog()
layout = QtGui.QVBoxLayout(dialog)
button = QtGui.QPushButton("Generate", dialog)
progress = QtGui.QProgressBar(dialog)
progress.setRange(0, 0)
layout.addWidget(button)
layout.addWidget(progress)
button.clicked.connect(obj.fetch)
dialog.show()
app.exec_()
app.deleteLater() # avoids some QThread messages in the shell on exit
# cancel all running tasks avoid QThread/QTimer error messages
# on exit
Request.shutdown()
When exiting the application you'll want to make sure you cancel all of the tasks or the application will hang until every scheduled task has completed
Based on the Worker objects methods mentioned in other answers, I decided to see if I could expand on the solution to invoke more threads - in this case the optimal number the machine can run and spin up multiple workers with indeterminate completion times.
To do this I still need to subclass QThread - but only to assign a thread number and to 'reimplement' the signals 'finished' and 'started' to include their thread number.
I've focused quite a bit on the signals between the main gui, the threads, and the workers.
Similarly, others answers have been a pains to point out not parenting the QThread but I don't think this is a real concern. However, my code also is careful to destroy the QThread objects.
However, I wasn't able to parent the worker objects so it seems desirable to send them the deleteLater() signal, either when the thread function is finished or the GUI is destroyed. I've had my own code hang for not doing this.
Another enhancement I felt was necessary was was reimplement the closeEvent of the GUI (QWidget) such that the threads would be instructed to quit and then the GUI would wait until all the threads were finished. When I played with some of the other answers to this question, I got QThread destroyed errors.
Perhaps it will be useful to others. I certainly found it a useful exercise. Perhaps others will know a better way for a thread to announce it identity.
#!/usr/bin/env python3
#coding:utf-8
# Author: --<>
# Purpose: To demonstrate creation of multiple threads and identify the receipt of thread results
# Created: 19/12/15
import sys
from PyQt4.QtCore import QThread, pyqtSlot, pyqtSignal
from PyQt4.QtGui import QApplication, QLabel, QWidget, QGridLayout
import sys
import worker
class Thread(QThread):
#make new signals to be able to return an id for the thread
startedx = pyqtSignal(int)
finishedx = pyqtSignal(int)
def __init__(self,i,parent=None):
super().__init__(parent)
self.idd = i
self.started.connect(self.starttt)
self.finished.connect(self.finisheddd)
#pyqtSlot()
def starttt(self):
print('started signal from thread emitted')
self.startedx.emit(self.idd)
#pyqtSlot()
def finisheddd(self):
print('finished signal from thread emitted')
self.finishedx.emit(self.idd)
class Form(QWidget):
def __init__(self):
super().__init__()
self.initUI()
self.worker={}
self.threadx={}
self.i=0
i=0
#Establish the maximum number of threads the machine can optimally handle
#Generally relates to the number of processors
self.threadtest = QThread(self)
self.idealthreadcount = self.threadtest.idealThreadCount()
print("This machine can handle {} threads optimally".format(self.idealthreadcount))
while i <self.idealthreadcount:
self.setupThread(i)
i+=1
i=0
while i<self.idealthreadcount:
self.startThread(i)
i+=1
print("Main Gui running in thread {}.".format(self.thread()))
def setupThread(self,i):
self.worker[i]= worker.Worker(i) # no parent!
#print("Worker object runningt in thread {} prior to movetothread".format(self.worker[i].thread()) )
self.threadx[i] = Thread(i,parent=self) # if parent isn't specified then need to be careful to destroy thread
self.threadx[i].setObjectName("python thread{}"+str(i))
#print("Thread object runningt in thread {} prior to movetothread".format(self.threadx[i].thread()) )
self.threadx[i].startedx.connect(self.threadStarted)
self.threadx[i].finishedx.connect(self.threadFinished)
self.worker[i].finished.connect(self.workerFinished)
self.worker[i].intReady.connect(self.workerResultReady)
#The next line is optional, you may want to start the threads again without having to create all the code again.
self.worker[i].finished.connect(self.threadx[i].quit)
self.threadx[i].started.connect(self.worker[i].procCounter)
self.destroyed.connect(self.threadx[i].deleteLater)
self.destroyed.connect(self.worker[i].deleteLater)
#This is the key code that actually get the worker code onto another processor or thread.
self.worker[i].moveToThread(self.threadx[i])
def startThread(self,i):
self.threadx[i].start()
#pyqtSlot(int)
def threadStarted(self,i):
print('Thread {} started'.format(i))
print("Thread priority is {}".format(self.threadx[i].priority()))
#pyqtSlot(int)
def threadFinished(self,i):
print('Thread {} finished'.format(i))
#pyqtSlot(int)
def threadTerminated(self,i):
print("Thread {} terminated".format(i))
#pyqtSlot(int,int)
def workerResultReady(self,j,i):
print('Worker {} result returned'.format(i))
if i ==0:
self.label1.setText("{}".format(j))
if i ==1:
self.label2.setText("{}".format(j))
if i ==2:
self.label3.setText("{}".format(j))
if i ==3:
self.label4.setText("{}".format(j))
#print('Thread {} has started'.format(self.threadx[i].currentThreadId()))
#pyqtSlot(int)
def workerFinished(self,i):
print('Worker {} finished'.format(i))
def initUI(self):
self.label1 = QLabel("0")
self.label2= QLabel("0")
self.label3= QLabel("0")
self.label4 = QLabel("0")
grid = QGridLayout(self)
self.setLayout(grid)
grid.addWidget(self.label1,0,0)
grid.addWidget(self.label2,0,1)
grid.addWidget(self.label3,0,2)
grid.addWidget(self.label4,0,3) #Layout parents the self.labels
self.move(300, 150)
self.setGeometry(0,0,300,300)
#self.size(300,300)
self.setWindowTitle('thread test')
self.show()
def closeEvent(self, event):
print('Closing')
#this tells the threads to stop running
i=0
while i <self.idealthreadcount:
self.threadx[i].quit()
i+=1
#this ensures window cannot be closed until the threads have finished.
i=0
while i <self.idealthreadcount:
self.threadx[i].wait()
i+=1
event.accept()
if __name__=='__main__':
app = QApplication(sys.argv)
form = Form()
sys.exit(app.exec_())
And the worker code below
#!/usr/bin/env python3
#coding:utf-8
# Author: --<>
# Purpose: Stack Overflow
# Created: 19/12/15
import sys
import unittest
from PyQt4.QtCore import QThread, QObject, pyqtSignal, pyqtSlot
import time
import random
class Worker(QObject):
finished = pyqtSignal(int)
intReady = pyqtSignal(int,int)
def __init__(self, i=0):
'''__init__ is called while the worker is still in the Gui thread. Do not put slow or CPU intensive code in the __init__ method'''
super().__init__()
self.idd = i
#pyqtSlot()
def procCounter(self): # This slot takes no params
for j in range(1, 10):
random_time = random.weibullvariate(1,2)
time.sleep(random_time)
self.intReady.emit(j,self.idd)
print('Worker {0} in thread {1}'.format(self.idd, self.thread().idd))
self.finished.emit(self.idd)
if __name__=='__main__':
unittest.main()
PySide2 Solution:
Unlike in PyQt5, in PySide2 the QThread.started signal is received/handled on the original thread, not the worker thread! Luckily it still receives all other signals on the worker thread.
In order to match PyQt5's behavior, you have to create the started signal yourself.
Here is an easy solution:
# Use this class instead of QThread
class QThread2(QThread):
# Use this signal instead of "started"
started2 = Signal()
def __init__(self):
QThread.__init__(self)
self.started.connect(self.onStarted)
def onStarted(self):
self.started2.emit()
In one window, I have a button that, when clicked, I want to execute a method from another module. This method takes an indeterminate amount of time to execute and depends on user input in the terminal. This method creates a file and repeatedly opens it, writes things to the file, and closes the file. At the same time this is running I have a matplotlib graph widget in the window with a plot that I want to update each time something new is written to the file by reading and plotting data from the most recent line of the file.
To check for changes to the file, I'm using QFileSystemWatcher. Right now, nothing happens while the userInputFunction() is running, but when it finishes I get "data/runName_Rec.txt dataFileCreated". If I then manually edit the file in any way the plotting happens as it should. So it seems the watcher only starts working again and sees that there has been a change in the directory after the userInputFunction() finishes.
How do I do the multithreading correctly so that the watcher works while userInputFunction() is running?
As I understand it, nothing in my application will respond until the user input function finishes if I have it running in the main thread of my QT program. To address this I tried moving the execution of the user input method into a worker thread following the example here: https://realpython.com/python-pyqt-qthread/. In this worker I have two methods. One simply does a for loop with a sleep() that takes a while exactly like the example. The other runs my userInputFunction(). The for loop method, run(), does not freeze the GUI. However, runScan() which exicutes the actual process I want does still freeze the GUI. I'm not sure what is going on here. I'm not sure if this means I'm not doing the threading properly or if something else is going on.
Here is a simplified sample of the relevant parts of my code.
from PyQt5 import QtWidgets, uic, QtCore, QtGui
from pyqtgraph import PlotWidget
from PyQt5.QtCore import QObject, QThread, pyqtSignal
import pyqtgraph as pg
import sys
from PyQt5.QtWidgets import QApplication, QWidget, QInputDialog, QLineEdit, QFileDialog, QMainWindow
import os
from os.path import exists
import csv
import numpy as np
import pandas as pd
import myModule
dirname = os.path.dirname(__file__)
# Create a worker class
class Worker(QObject):
finished = pyqtSignal()
#This works without freezing the GUI
def run(self):
"""Long-running task."""
for i in range(5):
time.sleep(1)
print("step ",i," done!")
self.finished.emit()
#This freezes the GUI
def runScan(self,param1,param2):
"""Long-running task with user input from terminal."""
myModule.userInputFunction(param1,param2)
self.finished.emit()
class someWindow(QtWidgets.QMainWindow):
def __init__(self, *args, **kwargs):
super(someWindow, self).__init__(*args, **kwargs)
#Load the UI Page
uic.loadUi('somewindow.ui', self)
self.directoryPath = "data"
self.fs_watcher = QtCore.QFileSystemWatcher()
self.fs_watcher.addPath(self.directoryPath)
self.fs_watcher.directoryChanged.connect(self.dataFileCreated)
self.StartScanButton.clicked.connect(self.runLongTask)
self.EndScanButton.clicked.connect(self.endScan)
def dataFileCreated(self):
self.filePath = os.path.join(dirname, "data/"+ self.runNameBox.toPlainText()+"_Rec.txt")
print(self.filePath + "dataFileCreated")
self.fs_watcher.addPath(self.filePath)
self.fs_watcher.fileChanged.connect(self.update_graph)
def update_graph(self):
if exists(self.path):
print("file exists!")
#then read the filePath.txt and plots the data
else:
print("file doesn't exist yet")
def endScan(self):
#change some display things
def runLongTask(self):
# Create a QThread object
self.thread = QThread()
# Create a worker object
self.worker = Worker()
# Move worker to the thread
self.worker.moveToThread(self.thread)
# Connect signals and slots
#This results in the GUI freezing
self.thread.started.connect(self.worker.runScan(self.param1,self.param2))
#This DOES NOT result in the GUI freezing
#self.thread.started.connect(self.worker.run)
self.worker.finished.connect(self.thread.quit)
self.worker.finished.connect(self.worker.deleteLater)
self.thread.finished.connect(self.thread.deleteLater)
# Start the thread
self.thread.start()
# Final resets
self.thread.finished.connect(
lambda: print("long task done!")
)
if __name__ == "__main__":
app = QtWidgets.QApplication(sys.argv)
w = someWindow()
w.show()
sys.exit(app.exec_())
The GUI freezes in your case because of this line:
self.thread.started.connect(self.worker.runScan(self.param1,self.param2))
This causes runScan to be executed from the main thread and blocking anything until completed, including the connect.
It's also a serious error, as connect always expects a callable as argument, and as soon as runScan eventually completes its job it returns None and your program will crash.
Assuming that the parameters are being added when the thread is created, you could add those to the Worker constructor and then execute the required code in run:
class Worker(QObject):
finished = pyqtSignal()
def __init__(self, param1, param2):
super().__init__()
self.param1 = param1
self.param2 = param2
def run(self):
myModule.userInputFunction(self.param1, self.param2)
self.finished.emit()
class someWindow(QtWidgets.QMainWindow):
# ...
def runLongTask(self):
self.thread = QThread()
self.worker = Worker(self.param1, self.param2)
self.worker.moveToThread(self.thread)
self.thread.started.connect(self.worker.run)
Note that it's not like the QFileSystemWatcher "stops" while processing: the problem is that by running runScan in the main thread you completely block the main thread (not only the UI), preventing the watcher to handle the events that the OS sends it to notify about the changes.
The context
I am creating my own version of the board game Battleship using PyQt. A PyQt main window contains both own and enemy boards. Boards are made up of clickable tiles that players 'fire at'. The implementation supports HUMANvsAI and AIvsAI games. I would like to test the strength of my AI algorithms through simulation. For example, I would like to run in a loop 1,000 AIvsAI games and get stats on % victory, average accuracy, etc.
The main issue
I am struggling to run the PyQt app multiple times to gather game data, e.g. in a for loop. Specifically, I cannot find a way to run the application, exit it, and re-run it again. Conceptually speaking I am looking for something like this:
# conceptual snippet
for i in range(n):
app = QApplication([])
window = MainWindow(b_size, boat_dict, players)
app.exec_()
With the call to exit the app somewhere else and called each time the game is over:
# conceptual snippet
if is_game_over():
sys.exit(app.exec_())
But this simple solution breaks the for loop. Any feedback would be welcome on how to run and exit a PyQt application multiple times, either sequentially (e.g. for loop approach) or in parallel threads.
You should not use sys.exit() since that instruction serves to terminate the execution of the program, if you want to terminate the Qt application you must use QCoreApplication::quit() (or QCoreApplication::exit(0)). In addition, another improvement would be to use multiprocessing:
import random
from multiprocessing import Pool
from PyQt5 import QtCore, QtWidgets
def create_app(i):
app = QtWidgets.QApplication([])
w = QtWidgets.QMainWindow()
w.setWindowTitle("Game-{}".format(i))
w.show()
# emulate end-game
def end_game():
QtCore.QCoreApplication.quit()
timeout = random.randint(1000, 2000) # 1000-2000 milliseconds
QtCore.QTimer.singleShot(timeout, end_game)
app.exec_()
# emulate results
o = {"victory": random.randint(0, 101), "average": random.randint(0, 101)}
return o
def main():
results = []
pool = Pool(processes=8)
for i in range(1000):
r = pool.apply_async(create_app, args=(i,))
results.append(r)
pool.close()
pool.join()
print([result.get() for result in results])
if __name__ == "__main__":
main()
I've to tell you, your question is dangerously near the level of a "too-broad" flag. The real problem is: how do you want to keep track of the gathered data, and what do you want to do with that data? This question may have a lot of answers.
As you already found out, you can't use sys.exit, but you could gather your data in different ways.
If you're going to run your application within a controlled environment, a possible solution is to serialize your gathered data while controlling the whole "gathering" process from the application
Semi-pseudo-code:
from PyQt5 import QtCore, QtWidgets
import json
class BattleShipWindow(QtWidgets.QMainWindow):
restart = QtCore.pyqtSignal()
# ...
def storeData(self, data):
# get the app data location
appDir = QtWidgets.QStandardPath.standardLocations(
QtCore.QStandardaPaths.AppDataLocation)[0]
# if it doesn't exists, create it
if not QtCore.QFile.exists(appDir):
QtCore.QDir().mkpath(appDir)
now = QtCore.QDateTime.currentDateTime()
fileName = str(now.toMSecsSinceEpoch() // 1000)
# write down the data
with open(os.path.join(appDir, fileName), 'w') as df:
df.write(json.dumps(data))
def getGameData(self):
# gather your own data here, this is just an example
return {'gameData': [1, 2, 3]}
def closeEvent(self, event):
if QtWidgets.QMessageBox.question(
self, 'Play again?',
'Play another game?',
QtWidgets.QMessageBox.Yes|QtWidgets.QMessageBox.No
) == QtWidgets.QMessageBox.Yes:
self.storeData(self.getGameData())
self.restart.emit()
class BattleShipApp(QtWidgets.QApplication):
def restart(self):
self.currentGame = BattleShipWindow()
self.currentGame.restart.connect(self.restart)
self.currentGame.show()
def exec_(self):
self.currentGame = BattleShipWindow()
self.currentGame.restart.connect(self.restart)
self.currentGame.show()
super(BattleShipApp, self).exec_()
if __name__ == '__main__':
import sys
app = BattleShipApp(sys.argv)
sys.exit(app.exec_())
Note: this is a [semi]pseudo code, I obviously didn't test it. Its purpose is to show how it could behave, so don't expect it to work as it is.
I'm having an issue with threading that I can't solve in any way I've tried. I searched in StackOverflow too, but all I could find was cases that didn't apply to me, or explanations that I didn't understand.
I'm trying to build an app with BottlePy, and one of the features I want requires a function to run in background. For this, I'm trying to make it run in a thread. However, when I start the thread, it runs twice.
I've read in some places that it would be possible to check if the function was in the main script or in a module using if __name__ == '__main__':, however I'm not able to do this, since __name__ is always returning the name of the module.
Below is an example of what I'm doing right now.
The main script:
# main.py
from MyClass import *
from bottle import *
arg = something
myObject = Myclass(arg1)
app = Bottle()
app.run('''bottle args''')
The class:
# MyClass.py
import threading
import time
class MyClass:
def check_list(self, theList, arg1):
a_list = something()
time.sleep(5)
self.check_list(a_list, arg1)
def __init__(self, arg1):
if __name__ == '__main__':
self.a_list = arg.returnAList()
t = threading.Thread(target=self.check_list, args=(a_list, arg1))
So what I intend here is to have check_list running in a thread all the time, doing something and waiting some seconds to run again. All this so I can have the list updated, and be able to read it with the main script.
Can you explain to me what I'm doing wrong, why the thread is running twice, and how can I avoid this?
This works fine:
import threading
import time
class MyClass:
def check_list(self, theList, arg1):
keep_going=True
while keep_going:
print("check list")
#do stuff
time.sleep(1)
def __init__(self, arg1):
self.a_list = ["1","2"]
t = threading.Thread(target=self.check_list, args=(self.a_list, arg1))
t.start()
myObject = MyClass("something")
Figured out what was wrong thanks to the user Weeble's comment. When he said 'something is causing your main.py to run twice' I remembered that Bottle has an argument that is called 'reloader'. When set to True, this will make the application load twice, and thus the thread creation is run twice as well.
I have a program which interfaces with a radio I am using via a gui I wrote in PyQt. Obviously one of the main functions of the radio is to transmit data, but to do this continuously, I have to loop the writes, which causes the gui to hang. Since I have never dealt with threading, I tried to get rid of these hangs using QCoreApplication.processEvents(). The radio needs to sleep between transmissions, though, so the gui still hangs based on how long these sleeps last.
Is there a simple way to fix this using QThread? I have looked for tutorials on how to implement multithreading with PyQt, but most of them deal with setting up servers and are much more advanced than I need them to be. I honestly don't even really need my thread to update anything while it is running, I just need to start it, have it transmit in the background, and stop it.
I created a little example that shows 3 different and simple ways of dealing with threads. I hope it will help you find the right approach to your problem.
import sys
import time
from PyQt5.QtCore import (QCoreApplication, QObject, QRunnable, QThread,
QThreadPool, pyqtSignal)
# Subclassing QThread
# http://qt-project.org/doc/latest/qthread.html
class AThread(QThread):
def run(self):
count = 0
while count < 5:
time.sleep(1)
print("A Increasing")
count += 1
# Subclassing QObject and using moveToThread
# http://blog.qt.digia.com/blog/2007/07/05/qthreads-no-longer-abstract
class SomeObject(QObject):
finished = pyqtSignal()
def long_running(self):
count = 0
while count < 5:
time.sleep(1)
print("B Increasing")
count += 1
self.finished.emit()
# Using a QRunnable
# http://qt-project.org/doc/latest/qthreadpool.html
# Note that a QRunnable isn't a subclass of QObject and therefore does
# not provide signals and slots.
class Runnable(QRunnable):
def run(self):
count = 0
app = QCoreApplication.instance()
while count < 5:
print("C Increasing")
time.sleep(1)
count += 1
app.quit()
def using_q_thread():
app = QCoreApplication([])
thread = AThread()
thread.finished.connect(app.exit)
thread.start()
sys.exit(app.exec_())
def using_move_to_thread():
app = QCoreApplication([])
objThread = QThread()
obj = SomeObject()
obj.moveToThread(objThread)
obj.finished.connect(objThread.quit)
objThread.started.connect(obj.long_running)
objThread.finished.connect(app.exit)
objThread.start()
sys.exit(app.exec_())
def using_q_runnable():
app = QCoreApplication([])
runnable = Runnable()
QThreadPool.globalInstance().start(runnable)
sys.exit(app.exec_())
if __name__ == "__main__":
#using_q_thread()
#using_move_to_thread()
using_q_runnable()
Take this answer updated for PyQt5, python 3.4
Use this as a pattern to start a worker that does not take data and return data as they are available to the form.
1 - Worker class is made smaller and put in its own file worker.py for easy memorization and independent software reuse.
2 - The main.py file is the file that defines the GUI Form class
3 - The thread object is not subclassed.
4 - Both thread object and the worker object belong to the Form object
5 - Steps of the procedure are within the comments.
# worker.py
from PyQt5.QtCore import QThread, QObject, pyqtSignal, pyqtSlot
import time
class Worker(QObject):
finished = pyqtSignal()
intReady = pyqtSignal(int)
#pyqtSlot()
def procCounter(self): # A slot takes no params
for i in range(1, 100):
time.sleep(1)
self.intReady.emit(i)
self.finished.emit()
And the main file is:
# main.py
from PyQt5.QtCore import QThread
from PyQt5.QtWidgets import QApplication, QLabel, QWidget, QGridLayout
import sys
import worker
class Form(QWidget):
def __init__(self):
super().__init__()
self.label = QLabel("0")
# 1 - create Worker and Thread inside the Form
self.obj = worker.Worker() # no parent!
self.thread = QThread() # no parent!
# 2 - Connect Worker`s Signals to Form method slots to post data.
self.obj.intReady.connect(self.onIntReady)
# 3 - Move the Worker object to the Thread object
self.obj.moveToThread(self.thread)
# 4 - Connect Worker Signals to the Thread slots
self.obj.finished.connect(self.thread.quit)
# 5 - Connect Thread started signal to Worker operational slot method
self.thread.started.connect(self.obj.procCounter)
# * - Thread finished signal will close the app if you want!
#self.thread.finished.connect(app.exit)
# 6 - Start the thread
self.thread.start()
# 7 - Start the form
self.initUI()
def initUI(self):
grid = QGridLayout()
self.setLayout(grid)
grid.addWidget(self.label,0,0)
self.move(300, 150)
self.setWindowTitle('thread test')
self.show()
def onIntReady(self, i):
self.label.setText("{}".format(i))
#print(i)
app = QApplication(sys.argv)
form = Form()
sys.exit(app.exec_())
According to the Qt developers, subclassing QThread is incorrect (see http://blog.qt.io/blog/2010/06/17/youre-doing-it-wrong/). But that article is really hard to understand (plus the title is a bit condescending). I found a better blog post that gives a more detailed explanation about why you should use one style of threading over another: http://mayaposch.wordpress.com/2011/11/01/how-to-really-truly-use-qthreads-the-full-explanation/
Also, I would highly recommend this video from KDAB on signals and slots between threads.
In my opinion, you should probably never subclass thread with the intent to overload the run method. While that does work, you're basically circumventing how Qt wants you to work. Plus you'll miss out on things like events and proper thread safe signals and slots. Plus as you'll likely see in the above blog post, the "correct" way of threading forces you to write more testable code.
Here's a couple of examples of how to take advantage of QThreads in PyQt (I posted a separate answer below that properly uses QRunnable and incorporates signals/slots, that answer is better if you have a lot of async tasks that you need to load balance).
import sys
from PyQt4 import QtCore
from PyQt4 import QtGui
from PyQt4.QtCore import Qt
# very testable class (hint: you can use mock.Mock for the signals)
class Worker(QtCore.QObject):
finished = QtCore.pyqtSignal()
dataReady = QtCore.pyqtSignal(list, dict)
#QtCore.pyqtSlot()
def processA(self):
print "Worker.processA()"
self.finished.emit()
#QtCore.pyqtSlot(str, list, list)
def processB(self, foo, bar=None, baz=None):
print "Worker.processB()"
for thing in bar:
# lots of processing...
self.dataReady.emit(['dummy', 'data'], {'dummy': ['data']})
self.finished.emit()
class Thread(QtCore.QThread):
"""Need for PyQt4 <= 4.6 only"""
def __init__(self, parent=None):
QtCore.QThread.__init__(self, parent)
# this class is solely needed for these two methods, there
# appears to be a bug in PyQt 4.6 that requires you to
# explicitly call run and start from the subclass in order
# to get the thread to actually start an event loop
def start(self):
QtCore.QThread.start(self)
def run(self):
QtCore.QThread.run(self)
app = QtGui.QApplication(sys.argv)
thread = Thread() # no parent!
obj = Worker() # no parent!
obj.moveToThread(thread)
# if you want the thread to stop after the worker is done
# you can always call thread.start() again later
obj.finished.connect(thread.quit)
# one way to do it is to start processing as soon as the thread starts
# this is okay in some cases... but makes it harder to send data to
# the worker object from the main gui thread. As you can see I'm calling
# processA() which takes no arguments
thread.started.connect(obj.processA)
thread.start()
# another way to do it, which is a bit fancier, allows you to talk back and
# forth with the object in a thread safe way by communicating through signals
# and slots (now that the thread is running I can start calling methods on
# the worker object)
QtCore.QMetaObject.invokeMethod(obj, 'processB', Qt.QueuedConnection,
QtCore.Q_ARG(str, "Hello World!"),
QtCore.Q_ARG(list, ["args", 0, 1]),
QtCore.Q_ARG(list, []))
# that looks a bit scary, but its a totally ok thing to do in Qt,
# we're simply using the system that Signals and Slots are built on top of,
# the QMetaObject, to make it act like we safely emitted a signal for
# the worker thread to pick up when its event loop resumes (so if its doing
# a bunch of work you can call this method 10 times and it will just queue
# up the calls. Note: PyQt > 4.6 will not allow you to pass in a None
# instead of an empty list, it has stricter type checking
app.exec_()
# Without this you may get weird QThread messages in the shell on exit
app.deleteLater()
Very nice example from Matt, I fixed the typo and also pyqt4.8 is common now so I removed the dummy class as well and added an example for the dataReady signal
# -*- coding: utf-8 -*-
import sys
from PyQt4 import QtCore, QtGui
from PyQt4.QtCore import Qt
# very testable class (hint: you can use mock.Mock for the signals)
class Worker(QtCore.QObject):
finished = QtCore.pyqtSignal()
dataReady = QtCore.pyqtSignal(list, dict)
#QtCore.pyqtSlot()
def processA(self):
print "Worker.processA()"
self.finished.emit()
#QtCore.pyqtSlot(str, list, list)
def processB(self, foo, bar=None, baz=None):
print "Worker.processB()"
for thing in bar:
# lots of processing...
self.dataReady.emit(['dummy', 'data'], {'dummy': ['data']})
self.finished.emit()
def onDataReady(aList, aDict):
print 'onDataReady'
print repr(aList)
print repr(aDict)
app = QtGui.QApplication(sys.argv)
thread = QtCore.QThread() # no parent!
obj = Worker() # no parent!
obj.dataReady.connect(onDataReady)
obj.moveToThread(thread)
# if you want the thread to stop after the worker is done
# you can always call thread.start() again later
obj.finished.connect(thread.quit)
# one way to do it is to start processing as soon as the thread starts
# this is okay in some cases... but makes it harder to send data to
# the worker object from the main gui thread. As you can see I'm calling
# processA() which takes no arguments
thread.started.connect(obj.processA)
thread.finished.connect(app.exit)
thread.start()
# another way to do it, which is a bit fancier, allows you to talk back and
# forth with the object in a thread safe way by communicating through signals
# and slots (now that the thread is running I can start calling methods on
# the worker object)
QtCore.QMetaObject.invokeMethod(obj, 'processB', Qt.QueuedConnection,
QtCore.Q_ARG(str, "Hello World!"),
QtCore.Q_ARG(list, ["args", 0, 1]),
QtCore.Q_ARG(list, []))
# that looks a bit scary, but its a totally ok thing to do in Qt,
# we're simply using the system that Signals and Slots are built on top of,
# the QMetaObject, to make it act like we safely emitted a signal for
# the worker thread to pick up when its event loop resumes (so if its doing
# a bunch of work you can call this method 10 times and it will just queue
# up the calls. Note: PyQt > 4.6 will not allow you to pass in a None
# instead of an empty list, it has stricter type checking
app.exec_()
In PyQt there are a lot of options for getting asynchronous behavior. For things that need event processing (ie. QtNetwork, etc) you should use the QThread example I provided in my other answer on this thread. But for the vast majority of your threading needs, I think this solution is far superior than the other methods.
The advantage of this is that the QThreadPool schedules your QRunnable instances as tasks. This is similar to the task pattern used in Intel's TBB. It's not quite as elegant as I like but it does pull off excellent asynchronous behavior.
This allows you to utilize most of the threading power of Qt in Python via QRunnable and still take advantage of signals and slots. I use this same code in several applications, some that make hundreds of asynchronous REST calls, some that open files or list directories, and the best part is using this method, Qt task balances the system resources for me.
import time
from PyQt4 import QtCore
from PyQt4 import QtGui
from PyQt4.QtCore import Qt
def async(method, args, uid, readycb, errorcb=None):
"""
Asynchronously runs a task
:param func method: the method to run in a thread
:param object uid: a unique identifier for this task (used for verification)
:param slot updatecb: the callback when data is receieved cb(uid, data)
:param slot errorcb: the callback when there is an error cb(uid, errmsg)
The uid option is useful when the calling code makes multiple async calls
and the callbacks need some context about what was sent to the async method.
For example, if you use this method to thread a long running database call
and the user decides they want to cancel it and start a different one, the
first one may complete before you have a chance to cancel the task. In that
case, the "readycb" will be called with the cancelled task's data. The uid
can be used to differentiate those two calls (ie. using the sql query).
:returns: Request instance
"""
request = Request(method, args, uid, readycb, errorcb)
QtCore.QThreadPool.globalInstance().start(request)
return request
class Request(QtCore.QRunnable):
"""
A Qt object that represents an asynchronous task
:param func method: the method to call
:param list args: list of arguments to pass to method
:param object uid: a unique identifier (used for verification)
:param slot readycb: the callback used when data is receieved
:param slot errorcb: the callback used when there is an error
The uid param is sent to your error and update callbacks as the
first argument. It's there to verify the data you're returning
After created it should be used by invoking:
.. code-block:: python
task = Request(...)
QtCore.QThreadPool.globalInstance().start(task)
"""
INSTANCES = []
FINISHED = []
def __init__(self, method, args, uid, readycb, errorcb=None):
super(Request, self).__init__()
self.setAutoDelete(True)
self.cancelled = False
self.method = method
self.args = args
self.uid = uid
self.dataReady = readycb
self.dataError = errorcb
Request.INSTANCES.append(self)
# release all of the finished tasks
Request.FINISHED = []
def run(self):
"""
Method automatically called by Qt when the runnable is ready to run.
This will run in a separate thread.
"""
# this allows us to "cancel" queued tasks if needed, should be done
# on shutdown to prevent the app from hanging
if self.cancelled:
self.cleanup()
return
# runs in a separate thread, for proper async signal/slot behavior
# the object that emits the signals must be created in this thread.
# Its not possible to run grabber.moveToThread(QThread.currentThread())
# so to get this QObject to properly exhibit asynchronous
# signal and slot behavior it needs to live in the thread that
# we're running in, creating the object from within this thread
# is an easy way to do that.
grabber = Requester()
grabber.Loaded.connect(self.dataReady, Qt.QueuedConnection)
if self.dataError is not None:
grabber.Error.connect(self.dataError, Qt.QueuedConnection)
try:
result = self.method(*self.args)
if self.cancelled:
# cleanup happens in 'finally' statement
return
grabber.Loaded.emit(self.uid, result)
except Exception as error:
if self.cancelled:
# cleanup happens in 'finally' statement
return
grabber.Error.emit(self.uid, unicode(error))
finally:
# this will run even if one of the above return statements
# is executed inside of the try/except statement see:
# https://docs.python.org/2.7/tutorial/errors.html#defining-clean-up-actions
self.cleanup(grabber)
def cleanup(self, grabber=None):
# remove references to any object or method for proper ref counting
self.method = None
self.args = None
self.uid = None
self.dataReady = None
self.dataError = None
if grabber is not None:
grabber.deleteLater()
# make sure this python obj gets cleaned up
self.remove()
def remove(self):
try:
Request.INSTANCES.remove(self)
# when the next request is created, it will clean this one up
# this will help us avoid this object being cleaned up
# when it's still being used
Request.FINISHED.append(self)
except ValueError:
# there might be a race condition on shutdown, when shutdown()
# is called while the thread is still running and the instance
# has already been removed from the list
return
#staticmethod
def shutdown():
for inst in Request.INSTANCES:
inst.cancelled = True
Request.INSTANCES = []
Request.FINISHED = []
class Requester(QtCore.QObject):
"""
A simple object designed to be used in a separate thread to allow
for asynchronous data fetching
"""
#
# Signals
#
Error = QtCore.pyqtSignal(object, unicode)
"""
Emitted if the fetch fails for any reason
:param unicode uid: an id to identify this request
:param unicode error: the error message
"""
Loaded = QtCore.pyqtSignal(object, object)
"""
Emitted whenever data comes back successfully
:param unicode uid: an id to identify this request
:param list data: the json list returned from the GET
"""
NetworkConnectionError = QtCore.pyqtSignal(unicode)
"""
Emitted when the task fails due to a network connection error
:param unicode message: network connection error message
"""
def __init__(self, parent=None):
super(Requester, self).__init__(parent)
class ExampleObject(QtCore.QObject):
def __init__(self, parent=None):
super(ExampleObject, self).__init__(parent)
self.uid = 0
self.request = None
def ready_callback(self, uid, result):
if uid != self.uid:
return
print "Data ready from %s: %s" % (uid, result)
def error_callback(self, uid, error):
if uid != self.uid:
return
print "Data error from %s: %s" % (uid, error)
def fetch(self):
if self.request is not None:
# cancel any pending requests
self.request.cancelled = True
self.request = None
self.uid += 1
self.request = async(slow_method, ["arg1", "arg2"], self.uid,
self.ready_callback,
self.error_callback)
def slow_method(arg1, arg2):
print "Starting slow method"
time.sleep(1)
return arg1 + arg2
if __name__ == "__main__":
import sys
app = QtGui.QApplication(sys.argv)
obj = ExampleObject()
dialog = QtGui.QDialog()
layout = QtGui.QVBoxLayout(dialog)
button = QtGui.QPushButton("Generate", dialog)
progress = QtGui.QProgressBar(dialog)
progress.setRange(0, 0)
layout.addWidget(button)
layout.addWidget(progress)
button.clicked.connect(obj.fetch)
dialog.show()
app.exec_()
app.deleteLater() # avoids some QThread messages in the shell on exit
# cancel all running tasks avoid QThread/QTimer error messages
# on exit
Request.shutdown()
When exiting the application you'll want to make sure you cancel all of the tasks or the application will hang until every scheduled task has completed
Based on the Worker objects methods mentioned in other answers, I decided to see if I could expand on the solution to invoke more threads - in this case the optimal number the machine can run and spin up multiple workers with indeterminate completion times.
To do this I still need to subclass QThread - but only to assign a thread number and to 'reimplement' the signals 'finished' and 'started' to include their thread number.
I've focused quite a bit on the signals between the main gui, the threads, and the workers.
Similarly, others answers have been a pains to point out not parenting the QThread but I don't think this is a real concern. However, my code also is careful to destroy the QThread objects.
However, I wasn't able to parent the worker objects so it seems desirable to send them the deleteLater() signal, either when the thread function is finished or the GUI is destroyed. I've had my own code hang for not doing this.
Another enhancement I felt was necessary was was reimplement the closeEvent of the GUI (QWidget) such that the threads would be instructed to quit and then the GUI would wait until all the threads were finished. When I played with some of the other answers to this question, I got QThread destroyed errors.
Perhaps it will be useful to others. I certainly found it a useful exercise. Perhaps others will know a better way for a thread to announce it identity.
#!/usr/bin/env python3
#coding:utf-8
# Author: --<>
# Purpose: To demonstrate creation of multiple threads and identify the receipt of thread results
# Created: 19/12/15
import sys
from PyQt4.QtCore import QThread, pyqtSlot, pyqtSignal
from PyQt4.QtGui import QApplication, QLabel, QWidget, QGridLayout
import sys
import worker
class Thread(QThread):
#make new signals to be able to return an id for the thread
startedx = pyqtSignal(int)
finishedx = pyqtSignal(int)
def __init__(self,i,parent=None):
super().__init__(parent)
self.idd = i
self.started.connect(self.starttt)
self.finished.connect(self.finisheddd)
#pyqtSlot()
def starttt(self):
print('started signal from thread emitted')
self.startedx.emit(self.idd)
#pyqtSlot()
def finisheddd(self):
print('finished signal from thread emitted')
self.finishedx.emit(self.idd)
class Form(QWidget):
def __init__(self):
super().__init__()
self.initUI()
self.worker={}
self.threadx={}
self.i=0
i=0
#Establish the maximum number of threads the machine can optimally handle
#Generally relates to the number of processors
self.threadtest = QThread(self)
self.idealthreadcount = self.threadtest.idealThreadCount()
print("This machine can handle {} threads optimally".format(self.idealthreadcount))
while i <self.idealthreadcount:
self.setupThread(i)
i+=1
i=0
while i<self.idealthreadcount:
self.startThread(i)
i+=1
print("Main Gui running in thread {}.".format(self.thread()))
def setupThread(self,i):
self.worker[i]= worker.Worker(i) # no parent!
#print("Worker object runningt in thread {} prior to movetothread".format(self.worker[i].thread()) )
self.threadx[i] = Thread(i,parent=self) # if parent isn't specified then need to be careful to destroy thread
self.threadx[i].setObjectName("python thread{}"+str(i))
#print("Thread object runningt in thread {} prior to movetothread".format(self.threadx[i].thread()) )
self.threadx[i].startedx.connect(self.threadStarted)
self.threadx[i].finishedx.connect(self.threadFinished)
self.worker[i].finished.connect(self.workerFinished)
self.worker[i].intReady.connect(self.workerResultReady)
#The next line is optional, you may want to start the threads again without having to create all the code again.
self.worker[i].finished.connect(self.threadx[i].quit)
self.threadx[i].started.connect(self.worker[i].procCounter)
self.destroyed.connect(self.threadx[i].deleteLater)
self.destroyed.connect(self.worker[i].deleteLater)
#This is the key code that actually get the worker code onto another processor or thread.
self.worker[i].moveToThread(self.threadx[i])
def startThread(self,i):
self.threadx[i].start()
#pyqtSlot(int)
def threadStarted(self,i):
print('Thread {} started'.format(i))
print("Thread priority is {}".format(self.threadx[i].priority()))
#pyqtSlot(int)
def threadFinished(self,i):
print('Thread {} finished'.format(i))
#pyqtSlot(int)
def threadTerminated(self,i):
print("Thread {} terminated".format(i))
#pyqtSlot(int,int)
def workerResultReady(self,j,i):
print('Worker {} result returned'.format(i))
if i ==0:
self.label1.setText("{}".format(j))
if i ==1:
self.label2.setText("{}".format(j))
if i ==2:
self.label3.setText("{}".format(j))
if i ==3:
self.label4.setText("{}".format(j))
#print('Thread {} has started'.format(self.threadx[i].currentThreadId()))
#pyqtSlot(int)
def workerFinished(self,i):
print('Worker {} finished'.format(i))
def initUI(self):
self.label1 = QLabel("0")
self.label2= QLabel("0")
self.label3= QLabel("0")
self.label4 = QLabel("0")
grid = QGridLayout(self)
self.setLayout(grid)
grid.addWidget(self.label1,0,0)
grid.addWidget(self.label2,0,1)
grid.addWidget(self.label3,0,2)
grid.addWidget(self.label4,0,3) #Layout parents the self.labels
self.move(300, 150)
self.setGeometry(0,0,300,300)
#self.size(300,300)
self.setWindowTitle('thread test')
self.show()
def closeEvent(self, event):
print('Closing')
#this tells the threads to stop running
i=0
while i <self.idealthreadcount:
self.threadx[i].quit()
i+=1
#this ensures window cannot be closed until the threads have finished.
i=0
while i <self.idealthreadcount:
self.threadx[i].wait()
i+=1
event.accept()
if __name__=='__main__':
app = QApplication(sys.argv)
form = Form()
sys.exit(app.exec_())
And the worker code below
#!/usr/bin/env python3
#coding:utf-8
# Author: --<>
# Purpose: Stack Overflow
# Created: 19/12/15
import sys
import unittest
from PyQt4.QtCore import QThread, QObject, pyqtSignal, pyqtSlot
import time
import random
class Worker(QObject):
finished = pyqtSignal(int)
intReady = pyqtSignal(int,int)
def __init__(self, i=0):
'''__init__ is called while the worker is still in the Gui thread. Do not put slow or CPU intensive code in the __init__ method'''
super().__init__()
self.idd = i
#pyqtSlot()
def procCounter(self): # This slot takes no params
for j in range(1, 10):
random_time = random.weibullvariate(1,2)
time.sleep(random_time)
self.intReady.emit(j,self.idd)
print('Worker {0} in thread {1}'.format(self.idd, self.thread().idd))
self.finished.emit(self.idd)
if __name__=='__main__':
unittest.main()
PySide2 Solution:
Unlike in PyQt5, in PySide2 the QThread.started signal is received/handled on the original thread, not the worker thread! Luckily it still receives all other signals on the worker thread.
In order to match PyQt5's behavior, you have to create the started signal yourself.
Here is an easy solution:
# Use this class instead of QThread
class QThread2(QThread):
# Use this signal instead of "started"
started2 = Signal()
def __init__(self):
QThread.__init__(self)
self.started.connect(self.onStarted)
def onStarted(self):
self.started2.emit()