我已经成功创建了一个线程的线程示例，它可以随时更新Progressbar。然而，到目前为止，我还没有采用多处理方式做同样的事情。 我开始怀疑是否有可能以这种方式使用tkinter。有没有人这样做过？
我在OS X 10.7上运行。我从周围看到不同的操作系统可能表现得非常不同，特别是对于多处理和tkinter。
我尝试过一个通过命名空间和event.wait以及event.set直接与小部件对话的制作人。我与生产者谈论消费者做了同样的事情，消费者是与小部件对话的方法或功能。所有这些事情都成功运行，但不要直观地更新小部件。虽然我在IntVar上做了一个get（），但是当使用widget.step（）和/或widget.set（）时，小部件被绑定并看到它发生了变化。我甚至尝试在子进程中运行一个单独的tk（）实例。没有更新进度条。
这是一个更简单的版本。子进程是对象的方法，它是Progressbar小部件的包装器。 tk GUI作为主进程运行。我也觉得有点奇怪的是，小部件在循环结束时不会被破坏，这可能是一个线索，我不理解它的含义。
import multiprocessing
from tkinter import *
from tkinter import ttk
import time
root = Tk()
class main_window:
def __init__(self):
self.dialog_count = 0
self.parent = root
self.parent.title('multiprocessing progess bar')
frame = ttk.Labelframe(self.parent)
frame.pack(pady=10, padx=10)
btn = ttk.Button(frame, text="Cancel")
btn.bind("<Button-1>", self.cancel)
btn.grid(row=0, column=1, pady=10)
btn = ttk.Button(frame, text="progress_bar")
btn.bind("<Button-1>", self.pbar)
btn.grid(row=0, column=2, pady=10)
self.parent.mainloop()
def pbar(self, event):
name="producer %d" % self.dialog_count
self.dialog_count += 1
pbar = pbar_dialog(self.parent, title=name)
event = multiprocessing.Event()
p = multiprocessing.Process(target=pbar.consumer, args=(None, event))
p.start()
def cancel(self, event):
self.parent.destroy()
class pbar_dialog:
toplevel=None
pbar_count = 0
def __init__(self, parent, ns=None, event=None, title=None, max=100):
self.ns = ns
self.pbar_value = IntVar()
self.max = max
pbar_dialog.pbar_count += 1
self.pbar_value.set(0)
if not pbar_dialog.toplevel:
pbar_dialog.toplevel= Toplevel(parent)
self.frame = ttk.Labelframe(pbar_dialog.toplevel, text=title)
#self.frame.pack()
self.pbar = ttk.Progressbar(self.frame, length=300, variable=self.pbar_value)
self.pbar.grid(row=0, column=1, columnspan=2, padx=5, pady=5)
btn = ttk.Button(self.frame, text="Cancel")
btn.bind("<Button-1>", self.cancel)
btn.grid(row=0, column=3, pady=10)
self.frame.pack()
def set(self,value):
self.pbar_value.set(value)
def step(self,increment=1):
self.pbar.step(increment)
print ("Current", self.pbar_value.get())
def cancel(self, event):
self.destroy()
def destroy(self):
self.frame.destroy()
pbar_dialog.pbar_count -= 1
if pbar_dialog.pbar_count == 0:
pbar_dialog.toplevel.destroy()
def consumer(self, ns, event):
for i in range(21):
#event.wait(2)
self.step(5)
#self.set(i)
print("Consumer", i)
self.destroy()
if __name__ == '__main__':
main_window()
相比之下，这是完美运行的线程版本。
import threading
from tkinter import *
from tkinter import ttk
import time
root = Tk()
class main_window:
def __init__(self):
self.dialog_count = 0
self.parent = root
self.parent.title('multiprocessing progess bar')
frame = ttk.Labelframe(self.parent)
frame.pack(pady=10, padx=10)
btn = ttk.Button(frame, text="Cancel")
btn.bind("<Button-1>", self.cancel)
btn.grid(row=0, column=1, pady=10)
btn = ttk.Button(frame, text="progress_bar")
btn.bind("<Button-1>", self.pbar)
btn.grid(row=0, column=2, pady=10)
self.parent.mainloop()
def producer(self, pbar):
i=0
while i < 101:
time.sleep(1)
pbar.step(1)
i += 1
pbar.destroy()
def pbar(self, event):
name="producer %d" % self.dialog_count
self.dialog_count += 1
pbar = pbar_dialog(self.parent, title=name)
p = threading.Thread(name=name, target=self.producer, args=(pbar,))
p.start()
#p.join()
def cancel(self, event):
self.parent.destroy()
class pbar_dialog:
toplevel=None
pbar_count = 0
def __init__(self, parent, ns=None, event=None, title=None, max=100):
self.ns = ns
self.pbar_value = IntVar()
self.title = title
self.max = max
pbar_dialog.pbar_count += 1
if not pbar_dialog.toplevel:
pbar_dialog.toplevel= Toplevel(parent)
self.frame = ttk.Labelframe(pbar_dialog.toplevel, text=title)
#self.frame.pack()
self.pbar = ttk.Progressbar(self.frame, length=300, variable=self.pbar_value)
self.pbar.grid(row=0, column=1, columnspan=2, padx=5, pady=5)
btn = ttk.Button(self.frame, text="Cancel")
btn.bind("<Button-1>", self.cancel)
btn.grid(row=0, column=3, pady=10)
self.frame.pack()
self.set(0)
def set(self,value):
self.pbar_value.set(value)
def step(self,increment=1):
self.pbar.step(increment)
def cancel(self, event):
self.destroy()
def destroy(self):
self.frame.destroy()
pbar_dialog.pbar_count -= 1
if pbar_dialog.pbar_count == 0:
pbar_dialog.toplevel.destroy()
pbar_dialog.toplevel = None
def automatic(self, ns, event):
for i in range(1,100):
self.step()
if __name__ == '__main__':
main_window()
答案 0 :(得分：2)
做类似的事情，我最终不得不使用线程和进程的组合 - GUI前端有两个线程：一个用于tkinter，一个从multiprocessing.Queue读取并调用gui.update（） - 然后后端进程会将更新写入该队列
答案 1 :(得分：0)
这可能是一种奇怪的方法，但它对我有用。将此代码复制并粘贴到文件中并运行它以查看结果。它准备好了。
我现在没有耐心解释我的代码，我可能会在另一天编辑它。
哦，这是在Python 2.7中我两个月前开始编程，所以我不知道差异是否相关。
# -*- coding: utf-8 -*-
# threadsandprocesses.py
# Importing modules
import time
import threading
import multiprocessing
import Tkinter as tki
import ttk
class Master(object):
def __init__(self):
self.mainw = tki.Tk()
self.mainw.protocol("WM_DELETE_WINDOW", self.myclose)
self.mainw.title("Progressbar")
self.mainw.geometry('300x100+300+300')
self.main = tki.Frame(self.mainw)
self.RunButton = ttk.Button(self.main, text='Run',
command=self.dostuff)
self.EntryBox = ttk.Entry(self.main)
self.EntryBox.insert(0, "Enter a number")
self.progress = ttk.Progressbar(self.main,
mode='determinate', value=0)
self.main.pack(fill=tki.BOTH, expand=tki.YES)
self.progress.pack(expand=tki.YES)
self.EntryBox.pack(expand=tki.YES)
self.RunButton.pack()
print "The Master was created"
def dostuff(self):
print "The Master does no work himself"
data = range(int(self.EntryBox.get()))
S = Slave(self, data)
print "The Master created a Slave to do his stuff"
print "The Slave gets told to start his work"
S.start()
def myclose(self):
self.mainw.destroy()
return
def nextstep(self):
print "Good job, Slave, I see the result is"
print Master.results.get()
class Slave(threading.Thread):
def __init__(self, guest, data):
print "This is the Slave."
print "Nowdays, Work is outsourced!"
self.data = data
self.guest = guest
threading.Thread.__init__(self)
def run(self):
print "The Slave is outsourcing his work to Calcualte inc."
time.sleep(1)
Outsourcing = Calculate()
Results = Outsourcing.run(self.guest, self.data)
return Results
# unwrapping outside a class
def calc(arg, **kwarg):
return Calculate.calculate(*arg, **kwarg)
class Calculate(object):
def run(self, guest, data):
print"This is Calculate inc. ... how can I help you?"
time.sleep(1)
maximum = int(guest.EntryBox.get())
guest.progress.configure(maximum=maximum, value=0)
manager = multiprocessing.Manager()
queue = manager.Queue()
lock = manager.Lock()
print "Things are setup and good to go"
# Counting the number of available CPUs in System
pool_size = multiprocessing.cpu_count()
print "Your system has %d CPUs" % (pool_size)
# Creating a pool of processes with the maximal number of CPUs possible
pool = multiprocessing.Pool(processes=pool_size)
Master.results = pool.map_async(calc, (zip([self]*len(data), [lock]*len(data),
[queue]*len(data), data)))
for job in range(1, maximum+1):
queue.get() # this is an abuse I think, but works for me
guest.progress.configure(value=job)
# Properly close and end all processes, once we're done
pool.close()
pool.join()
print "All done"
guest.nextstep()
return
def calculate(self, lock, queue, indata):
lock.acquire()
print 'Reading values and starting work'
lock.release()
time.sleep(3) # some work
results = indata # The works results
lock.acquire()
print 'Done'
lock.release()
queue.put("Finished!")
return results
if __name__ == '__main__':
TheMaster = Master()
TheMaster.mainw.mainloop()