Пример #1
0
  def run(self):
    # Calculate how often disk should be checked
    if ostype == "WindowsCE":
      disk_interval = int(repy_constants.RESOURCE_POLLING_FREQ_WINCE / repy_constants.CPU_POLLING_FREQ_WINCE)
    else:
      disk_interval = int(repy_constants.RESOURCE_POLLING_FREQ_WIN / repy_constants.CPU_POLLING_FREQ_WIN)
    current_interval = 0 # What cycle are we on  
    
    # Elevate our priority, above normal is higher than the usercode, and is enough for disk/mem
    windows_api.set_current_thread_priority(windows_api.THREAD_PRIORITY_ABOVE_NORMAL)
    
    # need my pid to get a process handle...
    mypid = os.getpid()

    # run forever (only exit if an error occurs)
    while True:
      try:
        # Check memory use, get the WorkingSetSize or RSS
        memused = windows_api.process_memory_info(mypid)['WorkingSetSize']
        
        if memused > nanny_resource_limits.resource_limit("memory"):
          # We will be killed by the other thread...
          raise Exception, "Memory use '"+str(memused)+"' over limit '"+str(nanny_resource_limits.resource_limit("memory"))+"'"
        
        # Increment the interval we are on
        current_interval += 1

        # Check if we should check the disk
        if (current_interval % disk_interval) == 0:
          # Check diskused
          diskused = compute_disk_use(repy_constants.REPY_CURRENT_DIR)
          if diskused > nanny_resource_limits.resource_limit("diskused"):
            raise Exception, "Disk use '"+str(diskused)+"' over limit '"+str(nanny_resource_limits.resource_limit("diskused"))+"'"
        
        if ostype == 'WindowsCE':
          time.sleep(repy_constants.CPU_POLLING_FREQ_WINCE)
        else:
          time.sleep(repy_constants.CPU_POLLING_FREQ_WIN)
        
      except windows_api.DeadProcess:
        #  Process may be dead, or die while checking memory use
        #  In any case, there is no reason to continue running, just exit
        harshexit.harshexit(99)

      except:
        tracebackrepy.handle_exception()
        print >> sys.stderr, "Nanny died!   Trying to kill everything else"
        harshexit.harshexit(20)
Пример #2
0
  def run(self):
    # Elevate our priority, set us to the highest so that we can more effectively throttle
    success = windows_api.set_current_thread_priority(windows_api.THREAD_PRIORITY_HIGHEST)
    
    # If we failed to get HIGHEST priority, try above normal, else we're still at default
    if not success:
      windows_api.set_current_thread_priority(windows_api.THREAD_PRIORITY_ABOVE_NORMAL)
    
    # Run while the process is running
    while True:
      try:
        # Get the frequency
        frequency = repy_constants.CPU_POLLING_FREQ_WIN
        
        # Base amount of sleeping on return value of 
    	  # win_check_cpu_use to prevent under/over sleeping
        slept = win_check_cpu_use(nanny_resource_limits.resource_limit("cpu"), self.pid)
        
        if slept == -1:
          # Something went wrong, try again
          pass
        elif (slept < frequency):
          time.sleep(frequency-slept)

      except windows_api.DeadProcess:
        #  Process may be dead
        harshexit.harshexit(97)
        
      except:
        tracebackrepy.handle_exception()
        print >> sys.stderr, "CPU Nanny died!   Trying to kill everything else"
        harshexit.harshexit(25)
Пример #3
0
def monitor_cpu_disk_and_mem():
  if ostype == 'Linux' or ostype == 'Darwin':  
    # Startup a CPU monitoring thread/process
    do_forked_resource_monitor()
    
  elif ostype == 'Windows' or ostype == 'WindowsCE':
    # Now we set up a cpu nanny...
    # Use an external CPU monitor for WinCE
    if ostype == 'WindowsCE':
      nannypath = "\"" + repy_constants.PATH_SEATTLE_INSTALL + 'win_cpu_nanny.py' + "\""
      cmdline = str(os.getpid())+" "+str(nanny_resource_limits.resource_limit("cpu"))+" "+str(repy_constants.CPU_POLLING_FREQ_WINCE)
      windows_api.launch_python_script(nannypath, cmdline)
    else:
      WinCPUNannyThread().start()
    
    # Launch mem./disk resource nanny
    WindowsNannyThread().start()
    
    # Start the nmstatusinterface. Windows means repy isn't run in an external
    # process, so pass None instead of a process id.
    nmstatusinterface.launch(None)
  else:
    raise UnsupportedSystemException, "Unsupported system type: '"+osrealtype+"' (alias: "+ostype+")"
Пример #4
0
def resource_monitor(childpid, pipe_handle):
  """
  <Purpose>
    Function runs in a loop forever, checking resource usage and throttling CPU.
    Checks CPU, memory, and disk.
    
  <Arguments>
    childpid:
      The child pid, e.g. the pid of repy

    pipe_handle:
      A handle to the pipe to the repy process. Allows sending resource use information.
  """
  # Get our pid
  ourpid = os.getpid()
  
  # Calculate how often disk should be checked
  disk_interval = int(repy_constants.RESOURCE_POLLING_FREQ_LINUX / repy_constants.CPU_POLLING_FREQ_LINUX)
  current_interval = -1 # What cycle are we on  
  
  # Store time of the last interval
  last_time = getruntime()
  last_CPU_time = 0
  resume_time = 0 
  
  # Run forever...
  while True:
    ########### Check CPU ###########
    # Get elasped time
    currenttime = getruntime()
    elapsedtime1 = currenttime - last_time     # Calculate against last run
    elapsedtime2 = currenttime - resume_time   # Calculate since we last resumed repy
    elapsedtime = min(elapsedtime1, elapsedtime2) # Take the minimum interval
    last_time = currenttime  # Save the current time
    
    # Safety check, prevent ZeroDivisionError
    if elapsedtime == 0.0:
      continue
    
    # Get the total cpu at this point
    totalCPU =  os_api.get_process_cpu_time(ourpid)   # Our own usage
    totalCPU += os_api.get_process_cpu_time(childpid) # Repy's usage
    
    # Calculate percentage of CPU used
    percentused = (totalCPU - last_CPU_time) / elapsedtime
    
    # Do not throttle for the first interval, wrap around
    # Store the totalCPU for the next cycle
    if last_CPU_time == 0:
      last_CPU_time = totalCPU    
      continue
    else:
      last_CPU_time = totalCPU
      
    # Calculate stop time
    stoptime = nanny_resource_limits.calculate_cpu_sleep_interval(nanny_resource_limits.resource_limit("cpu"), percentused, elapsedtime)
    
    # If we are supposed to stop repy, then suspend, sleep and resume
    if stoptime > 0.0:
      # They must be punished by stopping
      os.kill(childpid, signal.SIGSTOP)

      # Sleep until time to resume
      time.sleep(stoptime)

      # And now they can start back up!
      os.kill(childpid, signal.SIGCONT)
      
      # Save the resume time
      resume_time = getruntime()

      # Send this information as a tuple containing the time repy was stopped and
      # for how long it was stopped
      write_message_to_pipe(pipe_handle, "repystopped", (currenttime, stoptime))
      
    
    ########### End Check CPU ###########
    # 
    ########### Check Memory ###########
    
    # Get how much memory repy is using
    memused = os_api.get_process_rss()
    
    # Check if it is using too much memory
    if memused > nanny_resource_limits.resource_limit("memory"):
      raise ResourceException, "Memory use '"+str(memused)+"' over limit '"+str(nanny_resource_limits.resource_limit("memory"))+"'."
    
    ########### End Check Memory ###########
    # 
    ########### Check Disk Usage ###########
    # Increment our current cycle
    current_interval += 1;
    
    # Check if it is time to check the disk usage
    if (current_interval % disk_interval) == 0:
      # Reset the interval
      current_interval = 0
       
      # Calculate disk used
      diskused = compute_disk_use(repy_constants.REPY_CURRENT_DIR)

      # Raise exception if we are over limit
      if diskused > nanny_resource_limits.resource_limit("diskused"):
        raise ResourceException, "Disk use '"+str(diskused)+"' over limit '"+str(nanny_resource_limits.resource_limit("diskused"))+"'."

      # Send the disk usage information, raw bytes used
      write_message_to_pipe(pipe_handle, "diskused", diskused)
    
    ########### End Check Disk ###########
    
    # Sleep before the next iteration
    time.sleep(repy_constants.CPU_POLLING_FREQ_LINUX)