Source code for sas.sascalc.data_util.calcthread

# This program is public domain

## \file
#  \brief Abstract class for defining calculation threads.
#

import thread
import traceback
import sys

if sys.platform.count("darwin") > 0:
    import time
    stime = time.time()
    
    def clock():
        return time.time() - stime
    
    def sleep(t):
        return time.sleep(t)
else:
    from time import clock
    from time import sleep


[docs]class CalcThread: """Threaded calculation class. Inherit from here and specialize the compute() method to perform the appropriate operations for the class. If you specialize the __init__ method be sure to call CalcThread.__init__, passing it the keyword arguments for yieldtime, worktime, update and complete. When defining the compute() method you need to include code which allows the GUI to run. They are as follows: :: self.isquit() # call frequently to check for interrupts self.update(kw=...) # call when the GUI could be updated self.complete(kw=...) # call before exiting compute() The update() and complete() calls accept field=value keyword arguments which are passed to the called function. complete() should be called before exiting the GUI function. A KeyboardInterrupt event is triggered if the GUI signals that the computation should be halted. The following documentation should be included in the description of the derived class. The user of this class will call the following: :: thread = Work(...,kw=...) # prepare the work thread. thread.queue(...,kw=...) # queue a work unit thread.requeue(...,kw=...) # replace work unit on the end of queue thread.reset(...,kw=...) # reset the queue to the given work unit thread.stop() # clear the queue and halt thread.interrupt() # halt the current work unit but continue thread.ready(delay=0.) # request an update signal after delay thread.isrunning() # returns true if compute() is running Use queue() when all work must be done. Use requeue() when intermediate work items don't need to be done (e.g., in response to a mouse move event). Use reset() when the current item doesn't need to be completed before the new event (e.g., in response to a mouse release event). Use stop() to halt the current and pending computations (e.g., in response to a stop button). The methods queue(), requeue() and reset() are proxies for the compute() method in the subclass. Look there for a description of the arguments. The compute() method can be called directly to run the computation in the main thread, but it should not be called if isrunning() returns true. The constructor accepts additional keywords yieldtime=0.01 and worktime=0.01 which determine the cooperative multitasking behaviour. Yield time is the duration of the sleep period required to give other processes a chance to run. Work time is the duration between sleep periods. Notifying the GUI thread of work in progress and work complete is done with updatefn=updatefn and completefn=completefn arguments to the constructor. Details of the parameters to the functions depend on the particular calculation class, but they will all be passed as keyword arguments. Details of how the functions should be implemented vary from framework to framework. For wx, something like the following is needed:: import wx, wx.lib.newevent (CalcCompleteEvent, EVT_CALC_COMPLETE) = wx.lib.newevent.NewEvent() # methods in the main window class of your application def __init__(): ... # Prepare the calculation in the GUI thread. self.work = Work(completefn=self.CalcComplete) self.Bind(EVT_CALC_COMPLETE, self.OnCalcComplete) ... # Bind work queue to a menu event. self.Bind(wx.EVT_MENU, self.OnCalcStart, id=idCALCSTART) ... def OnCalcStart(self,event): # Start the work thread from the GUI thread. self.work.queue(...work unit parameters...) def CalcComplete(self,**kwargs): # Generate CalcComplete event in the calculation thread. # kwargs contains field1, field2, etc. as defined by # the Work thread class. event = CalcCompleteEvent(**kwargs) wx.PostEvent(self, event) def OnCalcComplete(self,event): # Process CalcComplete event in GUI thread. # Use values from event.field1, event.field2 etc. as # defined by the Work thread class to show the results. ... """ def __init__(self, completefn=None, updatefn=None, yieldtime=0.01, worktime=0.01, exception_handler=None): """Prepare the calculator""" self.yieldtime = yieldtime self.worktime = worktime self.completefn = completefn self.updatefn = updatefn self.exception_handler = exception_handler self._interrupting = False self._running = False self._queue = [] self._lock = thread.allocate_lock() self._delay = 1e6
[docs] def queue(self,*args,**kwargs): """Add a work unit to the end of the queue. See the compute() method for details of the arguments to the work unit.""" self._lock.acquire() self._queue.append((args, kwargs)) # Cannot do start_new_thread call within the lock self._lock.release() if not self._running: self._time_for_update = clock() + 1e6 thread.start_new_thread(self._run, ())
[docs] def requeue(self, *args, **kwargs): """Replace the work unit on the end of the queue. See the compute() method for details of the arguments to the work unit.""" self._lock.acquire() self._queue = self._queue[:-1] self._lock.release() self.queue(*args, **kwargs)
[docs] def reset(self, *args, **kwargs): """Clear the queue and start a new work unit. See the compute() method for details of the arguments to the work unit.""" self.stop() self.queue(*args, **kwargs)
[docs] def stop(self): """Clear the queue and stop the thread. New items may be queued after stop. To stop just the current work item, and continue the rest of the queue call the interrupt method""" self._lock.acquire() self._interrupting = True self._queue = [] self._lock.release()
[docs] def interrupt(self): """Stop the current work item. To clear the work queue as well call the stop() method.""" self._lock.acquire() self._interrupting = True self._lock.release()
[docs] def isrunning(self): return self._running
[docs] def ready(self, delay=0.): """Ready for another update after delay=t seconds. Call this for threads which can show intermediate results from long calculations.""" self._delay = delay self._lock.acquire() self._time_for_update = clock() + delay # print "setting _time_for_update to ",self._time_for_update self._lock.release()
[docs] def isquit(self): """Check for interrupts. Should be called frequently to provide user responsiveness. Also yields to other running threads, which is required for good performance on OS X.""" # Only called from within the running thread so no need to lock if self._running and self.yieldtime > 0 \ and clock() > self._time_for_nap: sleep(self.yieldtime) self._time_for_nap = clock() + self.worktime if self._interrupting: raise KeyboardInterrupt
[docs] def update(self, **kwargs): """Update GUI with the lastest results from the current work unit.""" if self.updatefn != None and clock() > self._time_for_update: self._lock.acquire() self._time_for_update = clock() + self._delay self._lock.release() self._time_for_update += 1e6 # No more updates self.updatefn(**kwargs) sleep(self.yieldtime) if self._interrupting: raise KeyboardInterrupt else: self.isquit() return
[docs] def complete(self, **kwargs): """Update the GUI with the completed results from a work unit.""" if self.completefn != None: self.completefn(**kwargs) sleep(self.yieldtime) return
[docs] def compute(self, *args, **kwargs): """Perform a work unit. The subclass will provide details of the arguments.""" raise NotImplemented("Calculation thread needs compute method")
[docs] def exception(self): """ An exception occurred during computation, so call the exception handler if there is one. If not, then log the exception and continue. """ # If we have an exception handler, let it try to handle the exception. # If it fails fall through to log the failure to handle the exception # (the original exception will be lost). If there is no exception # handler, just log the exception in compute that we are responding to. if self.exception_handler: try: self.exception_handler(*sys.exc_info()) return except Exception: pass import logging logging.error(traceback.format_exc())
#print 'CalcThread exception', def _run(self): """Internal function to manage the thread.""" # The code for condition wait in the threading package is # implemented using polling. I'll accept for now that the # authors of this code are clever enough that polling is # difficult to avoid. Rather than polling, I will exit the # thread when the queue is empty and start a new thread when # there is more work to be done. while 1: self._lock.acquire() self._time_for_nap = clock() + self.worktime self._running = True if self._queue == []: break self._interrupting = False args, kwargs = self._queue[0] self._queue = self._queue[1:] self._lock.release() try: self.compute(*args, **kwargs) except KeyboardInterrupt: pass except: self.exception() self._running = False
# ====================================================================== # Demonstration of calcthread in action
[docs]class CalcDemo(CalcThread): """Example of a calculation thread."""
[docs] def compute(self, n): total = 0. for i in range(n): self.update(i=i) for j in range(n): self.isquit() total += j self.complete(total=total)
[docs]class CalcCommandline: """ Test method """ def __init__(self, n=20000): print thread.get_ident() self.starttime = clock() self.done = False self.work = CalcDemo(completefn=self.complete, updatefn=self.update, yieldtime=0.001) self.work2 = CalcDemo(completefn=self.complete, updatefn=self.update) self.work3 = CalcDemo(completefn=self.complete, updatefn=self.update) self.work.queue(n) self.work2.queue(n) self.work3.queue(n) print "Expect updates from Main every second and from thread every 2.5 seconds" print "" self.work.ready(.5) while not self.done: sleep(1) print "Main thread %d at %.2f" % (thread.get_ident(), clock() - self.starttime)
[docs] def update(self, i=0): print "Update i=%d from thread %d at %.2f" % (i, thread.get_ident(), clock() - self.starttime) self.work.ready(2.5)
[docs] def complete(self, total=0.0): print "Complete total=%g from thread %d at %.2f" % (total, thread.get_ident(), clock() - self.starttime) self.done = True