Yes but that means walking twice which was something I was hoping to avoid
Howard
>________________________________
> From: Alvaro Castaneda <varo...@gmail.com>
>To: Howard Jones <mrhowardjo...@yahoo.com>; Nuke Python discussion
><nuke-python@support.thefoundry.co.uk>
>Sent: Tuesday, 18 September 2012, 20:36
>Subject: Re: [Nuke-python] progress bar
>
>
>
>you can count the folders before hand using something like os.walk()
>
>
>http://www.saltycrane.com/blog/2007/03/python-oswalk-example/
>
>
>
>
>cheers!!
> .:varomix:.
>MIX Studio
>3D Artist/Generalist TD
>varo...@varomix.net
>Contact Me
>
>
>
>
>On Tue, Sep 18, 2012 at 1:14 PM, Howard Jones <mrhowardjo...@yahoo.com> wrote:
>
>Hooray - a clear explanation!
>>
>>
>>Out of interest what do you do if you don't know how many iterations are
>>needed so in
>>
>>
>>progIncr = 100.0 / len(reads)
>>
>>
>>you cant know the value of len(reads)?
>>
>>
>>Say you are walking a path and dont know how many subfolders there are but
>>want to show progress on the walk?
>>
>>
>>Cheers
>>
>>Howard
>>
>>
>>
>>>________________________________
>>> From: Luca Fiorentini <luca.fiorent...@gmail.com>
>>>To: Nuke Python discussion <nuke-python@support.thefoundry.co.uk>
>>>Sent: Tuesday, 18 September 2012, 18:56
>>>Subject: Re: [Nuke-python] progress bar
>>>
>>>
>>>
>>>Thanks Nathan!
>>>
>>>Now it is way clearer and works like a charm!
>>>
>>>Kudos :)
>>>
>>>
>>>On Tue, Sep 18, 2012 at 7:34 PM, Nathan Rusch <nathan_ru...@hotmail.com>
>>>wrote:
>>>
>>>You’re basically on the right track. You need to run your slow function on
a separate thread to avoid blocking Nuke’s GUI until it finishes, and you would
create and update your progress bar from within that function as well so it
will
update properly in time with your processing.
>>>>
>>>>
>>>>import threading
>>>>import time
>>>>
>>>>def dummy():
>>>> task = nuke.ProgressTask('Examining Read
Nodes...')
>>>> reads = nuke.allNodes('Read')
>>>> progIncr = 100.0 / len(reads)
>>>> for i, r in enumerate(reads):
>>>> if task.isCancelled():
>>>>
nuke.executeInMainThread(nuke.message, args=('Aborted',))
>>>>
return
>>>> task.setProgress(int(i *
progIncr))
>>>>
task.setMessage(r.fullName())
>>>> # Placeholder for some long
per-node process
>>>> time.sleep(2)
>>>>
>>>>def aMenuCommand():
>>>> # This is the function you would actually bind to a Nuke
menu command
>>>> threading.Thread(target=dummy).start()
>>>>
>>>>
>>>>-Nathan
>>>>
>>>>
>>>>From: Luca Fiorentini
>>>>Sent: Tuesday, September 18, 2012 10:19 AM
>>>>To: nuke-python@support.thefoundry.co.uk
>>>>Subject: [Nuke-python] progress bar
>>>> Hi!
>>>>
>>>>I
am trying to make a progress bar but with no success.
>>>>I took a look at the
code in the guide
>>>>
>>>>http://docs.thefoundry.co.uk/nuke/63/pythondevguide/basics.html#creating-progress-bar-dialogs
>>>>
>>>>But
I am clearly missing something.
>>>>Could someone kindly explain it to me in an
easier way?
>>>>Imagine I have a function like this:
>>>>
>>>>def
dummy():
>>>> for n in
nuke.allNodes('Read'):
>>>> print 'here
my super slow function'
>>>>
>>>>where and how should I implement the progress
bar?
>>>>should I use the code from the example and then call the whole funciont
in a new thread? like
>>>>
>>>>threading.Thread( None, dummy
).start()
>>>>
>>>>Thanks for your time
>>>>
>>>>--
>>>>Luca Fiorentini
- 3D Lighting Artist
>>>>My Showreel - My blog - My
Flickr
>>>>
>>>>
>>>>________________________________
>>>> _______________________________________________
>>>>Nuke-python mailing
list
>>>>Nuke-python@support.thefoundry.co.uk, http://forums.thefoundry.co.uk/
>>>>http://support.thefoundry.co.uk/cgi-bin/mailman/listinfo/nuke-python
>>>>
>>>>_______________________________________________
>>>>Nuke-python mailing list
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>>>>
>>>>
>>>
>>>
>>>--
>>>Luca Fiorentini - 3D Lighting Artist
>>>My Showreel - My blog - My Flickr
>>>
>>>
>>>_______________________________________________
>>>Nuke-python mailing list
>>>Nuke-python@support.thefoundry.co.uk, http://forums.thefoundry.co.uk/
>>>http://support.thefoundry.co.uk/cgi-bin/mailman/listinfo/nuke-python
>>>
>>>
>>>
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