def _update_event(self, event_index, event_state, event_type, event_value,
proc_list, proc_desc, peak_time):
"""Update an event in the list"""
if event_state == "OK" or event_state == "CAREFUL":
# Reset the automatic process sort key
self.reset_process_sort()
# Set the end of the events
endtime = time.mktime(datetime.now().timetuple())
if endtime - self.events_list[event_index][0] > peak_time:
# If event is > peak_time seconds
self.events_list[event_index][1] = endtime
else:
# If event <= peak_time seconds, ignore
self.events_list.remove(self.events_list[event_index])
else:
# Update the item
self.set_process_sort(event_type)
# State
if event_state == "CRITICAL":
self.events_list[event_index][2] = event_state
# Min value
self.events_list[event_index][6] = min(
self.events_list[event_index][6], event_value)
# Max value
self.events_list[event_index][4] = max(
self.events_list[event_index][4], event_value)
# Average value
self.events_list[event_index][7] += event_value
self.events_list[event_index][8] += 1
self.events_list[event_index][5] = (
self.events_list[event_index][7] /
self.events_list[event_index][8])
# TOP PROCESS LIST (only for CRITICAL ALERT)
if event_state == "CRITICAL":
events_sort_key = self.get_event_sort_key(event_type)
# Sort the current process list to retreive the TOP 3 processes
self.events_list[event_index][9] = sort_stats(
proc_list, events_sort_key)[0:3]
self.events_list[event_index][11] = events_sort_key
# MONITORED PROCESSES DESC
self.events_list[event_index][10] = proc_desc
return True
def _update_event(self, event_index, event_state, event_type, event_value,
proc_list, proc_desc, peak_time):
"""Update an event in the list"""
if event_state == "OK" or event_state == "CAREFUL":
# Reset the automatic process sort key
self.reset_process_sort()
# Set the end of the events
endtime = time.mktime(datetime.now().timetuple())
if endtime - self.events_list[event_index][0] > peak_time:
# If event is > peak_time seconds
self.events_list[event_index][1] = endtime
else:
# If event <= peak_time seconds, ignore
self.events_list.remove(self.events_list[event_index])
else:
# Update the item
self.set_process_sort(event_type)
# State
if event_state == "CRITICAL":
self.events_list[event_index][2] = event_state
# Min value
self.events_list[event_index][6] = min(self.events_list[event_index][6],
event_value)
# Max value
self.events_list[event_index][4] = max(self.events_list[event_index][4],
event_value)
# Average value
self.events_list[event_index][7] += event_value
self.events_list[event_index][8] += 1
self.events_list[event_index][5] = (self.events_list[event_index][7] /
self.events_list[event_index][8])
# TOP PROCESS LIST (only for CRITICAL ALERT)
if event_state == "CRITICAL":
events_sort_key = self.get_event_sort_key(event_type)
# Sort the current process list to retreive the TOP 3 processes
self.events_list[event_index][9] = sort_stats(proc_list,
events_sort_key)[0:3]
self.events_list[event_index][11] = events_sort_key
# MONITORED PROCESSES DESC
self.events_list[event_index][10] = proc_desc
return True
def _update_item(self, item_index, item_state, item_type, item_value,
proc_list, proc_desc, peak_time):
"""Update a item in the log list"""
if item_state == "OK" or item_state == "CAREFUL":
# Reset the automatic process sort key
self.reset_process_sort()
endtime = time.mktime(datetime.now().timetuple())
if endtime - self.logs_list[item_index][0] > peak_time:
# If event is > peak_time seconds
self.logs_list[item_index][1] = endtime
else:
# If event <= peak_time seconds, ignore
self.logs_list.remove(self.logs_list[item_index])
else:
# Update the item
# State
if item_state == "CRITICAL":
self.logs_list[item_index][2] = item_state
# Value
if item_value > self.logs_list[item_index][4]:
# MAX
self.logs_list[item_index][4] = item_value
elif item_value < self.logs_list[item_index][6]:
# MIN
self.logs_list[item_index][6] = item_value
# AVG (compute average value)
self.logs_list[item_index][7] += item_value
self.logs_list[item_index][8] += 1
self.logs_list[item_index][5] = (self.logs_list[item_index][7] /
self.logs_list[item_index][8])
# TOP PROCESS LIST (only for CRITICAL ALERT)
if item_state == "CRITICAL":
# Sort the current process list to retreive the TOP 3 processes
self.logs_list[item_index][9] = sort_stats(
proc_list, glances_processes.sort_key)[0:3]
self.logs_list[item_index][11] = glances_processes.sort_key
# MONITORED PROCESSES DESC
self.logs_list[item_index][10] = proc_desc
return True
def _update_item(self, item_index, item_state, item_type, item_value,
proc_list, proc_desc, peak_time):
"""Update a item in the log list"""
if item_state == "OK" or item_state == "CAREFUL":
# Reset the automatic process sort key
self.reset_process_sort()
endtime = time.mktime(datetime.now().timetuple())
if endtime - self.logs_list[item_index][0] > peak_time:
# If event is > peak_time seconds
self.logs_list[item_index][1] = endtime
else:
# If event <= peak_time seconds, ignore
self.logs_list.remove(self.logs_list[item_index])
else:
# Update the item
# State
if item_state == "CRITICAL":
self.logs_list[item_index][2] = item_state
# Value
if item_value > self.logs_list[item_index][4]:
# MAX
self.logs_list[item_index][4] = item_value
elif item_value < self.logs_list[item_index][6]:
# MIN
self.logs_list[item_index][6] = item_value
# AVG (compute average value)
self.logs_list[item_index][7] += item_value
self.logs_list[item_index][8] += 1
self.logs_list[item_index][5] = (self.logs_list[item_index][7] /
self.logs_list[item_index][8])
# TOP PROCESS LIST (only for CRITICAL ALERT)
if item_state == "CRITICAL":
# Sort the current process list to retreive the TOP 3 processes
self.logs_list[item_index][9] = sort_stats(proc_list, glances_processes.sort_key)[0:3]
self.logs_list[item_index][11] = glances_processes.sort_key
# MONITORED PROCESSES DESC
self.logs_list[item_index][10] = proc_desc
return True
def __sort_stats(self, sortedby=None):
"""Return the stats (dict) sorted by (sortedby)"""
return sort_stats(self.stats,
sortedby,
tree=glances_processes.is_tree_enabled(),
reverse=glances_processes.sort_reverse)
def __sort_stats(self, sortedby=None):
"""Return the stats (dict) sorted by (sortedby)."""
return sort_stats(self.stats, sortedby,
reverse=glances_processes.sort_reverse)
def __sort_stats(self, sortedby=None):
"""Return the stats (dict) sorted by (sortedby)"""
return sort_stats(self.stats, sortedby,
tree=glances_processes.is_tree_enabled(),
reverse=glances_processes.sort_reverse)