I’m creating a GUI for a python simulator. The GUI provides tools to set up the simulation and run it. While the simulation is running I want to pass progress information to the GUI and have it displayed on a Label in my simulation_frame. Because the simulations need to be run with multiprocessing, I’m using a Queue to pass the updated information back to the GUI.
The way I have it set up, running the simulations blocks the Tk mainloop since I need to be able to close my Pool at the end of the call. I’m calling update_idletasks() to force the GUI to update the progress information.
This seems to me like an inelegant and potentially risky solution. Moreover, while it works in Ubuntu, it does not seem to work in Windows XP–the window goes blank after a second or so of running. I may be able to make it work in Windows by calling update() rather than update_idletasks(), but that seems even worse to me.
Is there a better solution?
The relevant code:
sims = []
queues = []
svars = []
names = []
i = 0
manager = mp.Manager()
for config in self.configs:
name, file, num = config.get()
j = 0
for _ in range(num):
#progress monitor label
q = manager.Queue()
s_var = StringVar()
label = Label(self.sim_frame, textvariable = s_var, bg = "white")
s_var.set("%d: Not Started"%i)
label.grid(row = i, column = 0, sticky = W+N)
self.sim_labels.append(label)
queues.append(q)
svars.append(s_var)
names.append("%s-%d"%(name, j))
sims.append(("%s-%d"%(name, j),file, data, verbose, q))
i += 1
j += 1
self.update()
# The progress tracking is pretty hacky.
pool = mp.Pool(parallel)
num_sims = len(sims)
#start simulating
tracker = pool.map_async(run_1_sim,sims)
while not tracker.ready():
pass
for i in range(num_sims):
q = queues[i]
try:
gen = q.get(timeout = .001)
# if the sim has updated, update the label
#print gen
svars[i].set(gen)
self.update()
except Empty:
pass
# The results of the map, if necessary
tracker.get()
def update(self):
"""
Redraws everything
"""
self.master.update_idletasks()
def run_1_sim(args):
"""
Runs one simulation with the specified args, output updates to the supplied
pipe every generation
"""
name,config,data, verbose, q = args
sim = Simulation(config, name=name, data = data)
generation = 0
q.put(sim.name + ": 0")
try:
while sim.run(verbose=verbose, log=True, generations = sim_step):
generation += sim_step
q.put(sim.name + ": " + str(generation))
except Exception as err:
print err
This may or may not be helpful to you, but it is possible to make
tkinterthread-safe by ensuring that its code and methods are executed on the particular thread the root was instantiated on. One project that experimented with the concept can be found over on the Python Cookbook as recipe 577633 (Directory Pruner 2). The code below comes from lines 76 – 253 and is fairly easy to extend with widgets.Primary Thread-safety Support
If you read the rest of the application, you will find that it is built with the widgets defined as
_ThreadSafevariants that you are used to seeing in othertkinterapplications. As method calls come in from various threads, they are automatically held until it becomes possible to execute those calls on the creating thread. Note how themainloopis replaced by way of lines 291 – 298 and 326 – 336.Notice NoDefaltRoot & main_loop Calls
main_loop Allows Threads To Execute