提交 ea84db45 编写于 作者: N nicolargo

Rename Glances logs to Glances events

上级 dce2f6a5
.. _logs:
.. _events:
Logs
====
events
======
.. image:: ../_static/logs.png
.. image:: ../_static/events.png
A log messages list is displayed in the bottom of the screen if and only
if:
Events list is displayed in the bottom of the screen if and only if:
- at least one ``WARNING`` or ``CRITICAL`` alert was occurred
- space is available in the bottom of the console/terminal
Each alert message displays the following information:
Each event message displays the following information:
1. start datetime
2. duration if alert is terminated or `ongoing` if the alert is still in
......
......@@ -37,6 +37,6 @@ Legend:
ps
monitor
amps
logs
events
docker
actions
......@@ -17,7 +17,7 @@
# You should have received a copy of the GNU Lesser General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
"""Manage logs."""
"""Manage Glances events (previously Glances logs in Glances <3.1)."""
import time
from datetime import datetime
......@@ -26,16 +26,16 @@ from glances.compat import range
from glances.processes import glances_processes, sort_stats
class GlancesLogs(object):
class GlancesEvents(object):
"""This class manages logs inside the Glances software.
"""This class manages events inside the Glances software.
Logs is a list of list (stored in the self.logs_list var)
item_state = "OK|CAREFUL|WARNING|CRITICAL"
item_type = "CPU*|LOAD|MEM|MON"
item_value = value
Events is a list of event (stored in the self.events_list var)
event_state = "OK|CAREFUL|WARNING|CRITICAL"
event_type = "CPU*|LOAD|MEM|MON"
event_value = value
Item is defined by:
Item (or event) is defined by:
["begin",
"end",
"WARNING|CRITICAL",
......@@ -47,41 +47,41 @@ class GlancesLogs(object):
"""
def __init__(self):
"""Init the logs class."""
# Maximum size of the logs list
self.logs_max = 10
"""Init the events class."""
# Maximum size of the events list
self.events_max = 10
# Init the logs list
self.logs_list = []
self.events_list = []
def get(self):
"""Return the raw logs list."""
return self.logs_list
"""Return the raw events list."""
return self.events_list
def len(self):
"""Return the number of item in the logs list."""
return self.logs_list.__len__()
"""Return the number of events in the logs list."""
return self.events_list.__len__()
def __itemexist__(self, item_type):
"""Return the item position, if it exists.
def __event_exist(self, event_type):
"""Return the event position, if it exists.
An item exist in the list if:
An event exist if:
* end is < 0
* item_type is matching
* event_type is matching
Return -1 if the item is not found.
"""
for i in range(self.len()):
if self.logs_list[i][1] < 0 and self.logs_list[i][3] == item_type:
if self.events_list[i][1] < 0 and self.events_list[i][3] == event_type:
return i
return -1
def get_process_sort_key(self, item_type):
def get_process_sort_key(self, event_type):
"""Return the process sort key"""
# Process sort depending on alert type
if item_type.startswith("MEM"):
if event_type.startswith("MEM"):
# Sort TOP process by memory_percent
ret = 'memory_percent'
elif item_type.startswith("CPU_IOWAIT"):
elif event_type.startswith("CPU_IOWAIT"):
# Sort TOP process by io_counters (only for Linux OS)
ret = 'io_counters'
else:
......@@ -89,10 +89,10 @@ class GlancesLogs(object):
ret = 'cpu_percent'
return ret
def set_process_sort(self, item_type):
def set_process_sort(self, event_type):
"""Define the process auto sort key from the alert type."""
glances_processes.auto_sort = True
glances_processes.sort_key = self.get_process_sort_key(item_type)
glances_processes.sort_key = self.get_process_sort_key(event_type)
def reset_process_sort(self):
"""Reset the process auto sort key."""
......@@ -100,36 +100,38 @@ class GlancesLogs(object):
glances_processes.auto_sort = True
glances_processes.sort_key = 'cpu_percent'
def add(self, item_state, item_type, item_value,
def add(self, event_state, event_type, event_value,
proc_list=None, proc_desc="", peak_time=6):
"""Add a new item to the logs list.
If 'item' is a 'new one', add the new item at the beginning of
the logs list.
If 'item' is not a 'new one', update the existing item.
If event < peak_time the the alert is not setoff.
If 'event' is a 'new one', add it at the beginning of the list.
If 'event' is not a 'new one', update the list .
If event < peak_time then the alert is not set.
"""
proc_list = proc_list or glances_processes.getlist()
# Add or update the log
item_index = self.__itemexist__(item_type)
if item_index < 0:
# Item did not exist, add if WARNING or CRITICAL
self._create_item(item_state, item_type, item_value,
proc_list, proc_desc, peak_time)
event_index = self.__event_exist(event_type)
if event_index < 0:
# Event did not exist, add it
self._create_event(event_state, event_type, event_value,
proc_list, proc_desc, peak_time)
else:
# Item exist, update
self._update_item(item_index, item_state, item_type, item_value,
proc_list, proc_desc, peak_time)
# Event exist, update it
self._update_event(event_index, event_state, event_type, event_value,
proc_list, proc_desc, peak_time)
return self.len()
def _create_item(self, item_state, item_type, item_value,
proc_list, proc_desc, peak_time):
"""Create a new item in the log list"""
if item_state == "WARNING" or item_state == "CRITICAL":
def _create_event(self, event_state, event_type, event_value,
proc_list, proc_desc, peak_time):
"""Add a new item in the log list.
Item is added only if the criticity (event_state) is WARNING or CRITICAL.
"""
if event_state == "WARNING" or event_state == "CRITICAL":
# Define the automatic process sort key
self.set_process_sort(item_type)
self.set_process_sort(event_type)
# Create the new log item
# Time is stored in Epoch format
......@@ -137,68 +139,77 @@ class GlancesLogs(object):
item = [
time.mktime(datetime.now().timetuple()), # START DATE
-1, # END DATE
item_state, # STATE: WARNING|CRITICAL
item_type, # TYPE: CPU, LOAD, MEM...
item_value, # MAX
item_value, # AVG
item_value, # MIN
item_value, # SUM
event_state, # STATE: WARNING|CRITICAL
event_type, # TYPE: CPU, LOAD, MEM...
event_value, # MAX
event_value, # AVG
event_value, # MIN
event_value, # SUM
1, # COUNT
[], # TOP 3 PROCESS LIST
proc_desc, # MONITORED PROCESSES DESC
glances_processes.sort_key] # TOP PROCESS SORTKEY
# Add the item to the list
self.logs_list.insert(0, item)
if self.len() > self.logs_max:
self.logs_list.pop()
self.events_list.insert(0, item)
# Limit the list to 'events_max' items
if self.len() > self.events_max:
self.events_list.pop()
return True
else:
return False
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":
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.logs_list[item_index][0] > peak_time:
if endtime - self.events_list[event_index][0] > peak_time:
# If event is > peak_time seconds
self.logs_list[item_index][1] = endtime
self.events_list[event_index][1] = endtime
else:
# If event <= peak_time seconds, ignore
self.logs_list.remove(self.logs_list[item_index])
self.events_list.remove(self.events_list[event_index])
else:
# Update the item
# State
if item_state == "CRITICAL":
self.logs_list[item_index][2] = item_state
if event_state == "CRITICAL":
self.events_list[event_index][2] = event_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])
# if event_value > self.events_list[event_index][4]:
# # MAX
# self.events_list[event_index][4] = event_value
# elif event_value < self.events_list[event_index][6]:
# # MIN
# self.events_list[event_index][6] = event_value
# 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 item_state == "CRITICAL":
if event_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
self.events_list[event_index][9] = sort_stats(proc_list, glances_processes.sort_key)[0:3]
self.events_list[event_index][11] = glances_processes.sort_key
# MONITORED PROCESSES DESC
self.logs_list[item_index][10] = proc_desc
self.events_list[event_index][10] = proc_desc
return True
......@@ -209,14 +220,14 @@ class GlancesLogs(object):
If critical = True, also delete CRITICAL message.
"""
# Create a new clean list
clean_logs_list = []
clean_events_list = []
while self.len() > 0:
item = self.logs_list.pop()
item = self.events_list.pop()
if item[1] < 0 or (not critical and item[2].startswith("CRITICAL")):
clean_logs_list.insert(0, item)
clean_events_list.insert(0, item)
# The list is now the clean one
self.logs_list = clean_logs_list
self.events_list = clean_events_list
return self.len()
glances_logs = GlancesLogs()
glances_events = GlancesEvents()
......@@ -25,7 +25,7 @@ import sys
from glances.compat import u, itervalues
from glances.globals import MACOS, WINDOWS
from glances.logger import logger
from glances.logs import glances_logs
from glances.events import glances_events
from glances.processes import glances_processes
from glances.timer import Timer
......@@ -375,10 +375,10 @@ class _GlancesCurses(object):
self.args.disable_folders = not self.args.disable_folders
elif self.pressedkey == ord('w'):
# 'w' > Delete finished warning logs
glances_logs.clean()
glances_events.clean()
elif self.pressedkey == ord('x'):
# 'x' > Delete finished warning and critical logs
glances_logs.clean(critical=True)
glances_events.clean(critical=True)
elif self.pressedkey == ord('z'):
# 'z' > Enable or disable processes
self.args.disable_process = not self.args.disable_process
......
......@@ -21,7 +21,7 @@
from datetime import datetime
from glances.logs import glances_logs
from glances.events import glances_events
from glances.thresholds import glances_thresholds
# from glances.logger import logger
from glances.plugins.glances_plugin import GlancesPlugin
......@@ -96,8 +96,8 @@ class Plugin(GlancesPlugin):
def update(self):
"""Nothing to do here. Just return the global glances_log."""
# Set the stats to the glances_logs
self.stats = glances_logs.get()
# Set the stats to the glances_events
self.stats = glances_events.get()
# Define the global message thanks to the current thresholds
# and the decision tree
# !!! Call directly in the msg_curse function
......@@ -119,7 +119,7 @@ class Plugin(GlancesPlugin):
# Header
# msg = 'Warning or critical alerts'
# ret.append(self.curse_add_line(msg, "TITLE"))
# logs_len = glances_logs.len()
# logs_len = glances_events.len()
# if logs_len > 1:
# msg = ' (last {} entries)'.format(logs_len)
# else:
......
......@@ -32,7 +32,7 @@ from glances.compat import iterkeys, itervalues, listkeys, map, mean
from glances.actions import GlancesActions
from glances.history import GlancesHistory
from glances.logger import logger
from glances.logs import glances_logs
from glances.events import glances_events
from glances.thresholds import glances_thresholds
......@@ -600,7 +600,7 @@ class GlancesPlugin(object):
# So stats will be highlited with a specific color
log_str = "_LOG"
# Add the log to the list
glances_logs.add(ret, stat_name.upper(), value)
glances_events.add(ret, stat_name.upper(), value)
# Manage threshold
self.manage_threshold(stat_name, ret)
......
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