def run(self):
# How often the memory will be checked (seconds)
memory_check_interval = repy_constants.CPU_POLLING_FREQ_WIN
# The ratio of the disk polling time to memory polling time.
disk_to_memory_ratio = int(repy_constants.DISK_POLLING_HDD /
memory_check_interval)
# Which cycle number we're on
counter = 0
# 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:
# Increment the interval counter
counter += 1
# Check memory use, get the WorkingSetSize or RSS
memused = windows_api.process_memory_info(
mypid)['WorkingSetSize']
if memused > nanny.get_resource_limit("memory"):
# We will be killed by the other thread...
raise Exception, "Memory use '" + str(
memused) + "' over limit '" + str(
nanny.get_resource_limit("memory")) + "'"
# Check if we should check the disk
if (counter % disk_to_memory_ratio) == 0:
# Check diskused
diskused = compute_disk_use(
repy_constants.REPY_CURRENT_DIR)
if diskused > nanny.get_resource_limit("diskused"):
raise Exception, "Disk use '" + str(
diskused) + "' over limit '" + str(
nanny.get_resource_limit("diskused")) + "'"
# Sleep until the next iteration of checking the memory
time.sleep(memory_check_interval)
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)
def run(self):
# How often the memory will be checked (seconds)
memory_check_interval = repy_constants.CPU_POLLING_FREQ_WIN
# The ratio of the disk polling time to memory polling time.
disk_to_memory_ratio = int(repy_constants.DISK_POLLING_HDD / memory_check_interval)
# Which cycle number we're on
counter = 0
# 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:
# Increment the interval counter
counter += 1
# Check memory use, get the WorkingSetSize or RSS
memused = windows_api.process_memory_info(mypid)["WorkingSetSize"]
if memused > nanny.get_resource_limit("memory"):
# We will be killed by the other thread...
raise Exception, "Memory use '" + str(memused) + "' over limit '" + str(
nanny.get_resource_limit("memory")
) + "'"
# Check if we should check the disk
if (counter % disk_to_memory_ratio) == 0:
# Check diskused
diskused = compute_disk_use(repy_constants.REPY_CURRENT_DIR)
if diskused > nanny.get_resource_limit("diskused"):
raise Exception, "Disk use '" + str(diskused) + "' over limit '" + str(
nanny.get_resource_limit("diskused")
) + "'"
# Sleep until the next iteration of checking the memory
time.sleep(memory_check_interval)
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)
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.get_resource_limit("memory"):
# We will be killed by the other thread...
raise Exception, "Memory use '"+str(memused)+"' over limit '"+str(nanny.get_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.get_resource_limit("diskused"):
raise Exception, "Disk use '"+str(diskused)+"' over limit '"+str(nanny.get_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)
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.get_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)
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.get_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)
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.get_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 + ")"
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.get_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+")"
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 elapsed 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.calculate_cpu_sleep_interval(nanny.get_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.get_resource_limit("memory"):
raise ResourceException, "Memory use '"+str(memused)+"' over limit '"+str(nanny.get_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.get_resource_limit("diskused"):
raise ResourceException, "Disk use '"+str(diskused)+"' over limit '"+str(nanny.get_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)
def resource_monitor(repypid, pipe_handle):
"""
<Purpose>
Function runs in a loop forever, checking resource usage and throttling CPU.
Checks CPU, memory, and disk.
<Arguments>
repypid:
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 elapsed 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(repypid) # 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.calculate_cpu_sleep_interval(
nanny.get_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(repypid, signal.SIGSTOP)
# Sleep until time to resume
time.sleep(stoptime)
# And now they can start back up!
os.kill(repypid, 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.get_resource_limit("memory"):
raise ResourceException, "Memory use '" + str(
memused) + "' over limit '" + str(
nanny.get_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.get_resource_limit("diskused"):
raise ResourceException, "Disk use '" + str(
diskused) + "' over limit '" + str(
nanny.get_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)