def update_restrictions():
# Create an internal handler function, takes a resource line and returns the new number of threads
def _internal_func(lineContents):
try:
threads = float(lineContents[2])
threads = threads * EVENT_SCALAR
threads = int(threads)
threads = max(threads, HARD_MIN) # Set a hard minimum
return threads
except:
# On failure, return the minimum
return HARD_MIN
# Create a task that uses our internal function
task = ("resource", "events", _internal_func, True)
taskList = [task]
# Process all the resource files
errors = nmrestrictionsprocessor.process_all_files(taskList)
# Log any errors we encounter
if errors != []:
for e in errors:
print e
servicelogger.log(
"[ERROR]:Unable to patch events limit in resource file " + e[0] + ", exception " + str(e[1])
)
def update_restrictions():
# Create an internal handler function, takes a resource line and returns the new number of threads
def _internal_func(lineContents):
try:
threads = float(lineContents[2])
threads = threads * EVENT_SCALAR
threads = int(threads)
threads = max(threads, HARD_MIN) # Set a hard minimum
return threads
except:
# On failure, return the minimum
return HARD_MIN
# Create a task that uses our internal function
task = ("resource", "events", _internal_func, True)
taskList = [task]
# Process all the resource files
errors = nmrestrictionsprocessor.process_all_files(taskList)
# Log any errors we encounter
if errors != []:
for e in errors:
print e
servicelogger.log(
"[ERROR]:Unable to patch events limit in resource file " +
e[0] + ", exception " + str(e[1]))
threads = int(float(lineContents[2]))
_allocatedThreads += threads
return lineContents[2]
except Exception, e:
# On failure, return the initial value
return lineContents[2]
# Reset the thread count
_allocatedThreads = 0
# Create a task that uses our internal function, which will tally up the allocated threads
task = ("resource", "events", _internal_func, True)
taskList = [task]
# Process all the resource files
errors = nmrestrictionsprocessor.process_all_files(taskList)
return _allocatedThreads
def handle_threading_error(nmAPI):
"""
<Purpose>
Handles a repy node failing with ThreadErr. Reduces global thread count by 50%.
Restarts all existing vesselts
<Arguments>
nmAPI: the nmAPI module -- passed to the function to avoid import loops;
see ticket #590 for more information about this.
"""
# Make a log of this
threads = int(float(lineContents[2]))
_allocatedThreads += threads
return lineContents[2]
except Exception, e:
# On failure, return the initial value
return lineContents[2]
# Reset the thread count
_allocatedThreads = 0
# Create a task that uses our internal function, which will tally up the allocated threads
task = ("resource", "events", _internal_func, True)
taskList = [task]
# Process all the resource files
errors = nmrestrictionsprocessor.process_all_files(taskList)
return _allocatedThreads
def handle_threading_error(nmAPI):
"""
<Purpose>
Handles a repy node failing with ThreadErr. Reduces global thread count by 50%.
Restarts all existing vesselts
<Arguments>
nmAPI: the nmAPI module -- passed to the function to avoid import loops;
see ticket #590 for more information about this.
"""
# Make a log of this
