added multi core support for cpu usage
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@ -1,7 +1,15 @@
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# -*- coding:utf-8 -*-
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from collections import defaultdict
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from string import Formatter
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from i3pystatus import IntervalModule
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try:
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from natsort import natsorted as sorted
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except ImportError:
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pass
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class CpuUsage(IntervalModule):
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"""
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@ -11,48 +19,102 @@ class CpuUsage(IntervalModule):
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Available formatters:
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* {usage}
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* {usage} usage average of all cores
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* {usage_cpu*} usage of one specific core. replace "*" by core number statring at 0
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* {usage_all} usage of all cores separate. usess natsort when available(relevant for more than 10 cores)
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"""
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format = "{usage:02}%"
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format_all = "{core}:{usage:02}%"
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exclude_average = False
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settings = (
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("format", "format string"),
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("format", "format string. Default: {usage:02}%"),
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("format_all", ("format string used for {usage_all} per core. "
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"Available formaters are {core} and {usage}. "
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"Default: {core}:{usage:02}")),
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("exclude_average", ("If True usage average of all cores will "
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"not be in format_all. Default: False"))
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)
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def init(self):
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self.prev_idle = 0
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self.prev_busy = 0
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self.prev_total = defaultdict(int)
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self.prev_busy = defaultdict(int)
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self.interval = 1
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self.formatter = Formatter()
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def get_cpu_timings(self):
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"""
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reads and parses /proc/stat
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returns dictionary with all available cores invluding global average
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"""
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timings = {}
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with open('/proc/stat', 'r') as file_obj:
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for line in file_obj:
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if 'cpu' in line:
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line = line.strip().split()
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timings[line[0]] = [int(x) for x in line[1:]]
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return timings
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def calculate_usage(self, cpu, total, busy):
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"""
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calculates usage
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"""
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diff_total = total - self.prev_total[cpu]
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diff_busy = busy - self.prev_busy[cpu]
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self.prev_total[cpu] = total
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self.prev_busy[cpu] = busy
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return int(diff_busy / diff_total * 100)
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def gen_format_all(self, usage):
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"""
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generates string for format all
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"""
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format_string = " "
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core_strings = []
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for core, usage in usage.items():
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if core == 'usage_cpu' and self.exclude_average:
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continue
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elif core == 'usage':
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continue
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core = core.replace('usage_', '')
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string = self.formatter.format(format_string=self.format_all,
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core=core,
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usage=usage)
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core_strings.append(string)
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core_strings = sorted(core_strings)
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return format_string.join(core_strings)
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def get_usage(self):
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"""
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parses /proc/stat and calcualtes total and busy time
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(more specific USER_HZ see man 5 proc for further informations )
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"""
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with open('/proc/stat', 'r') as file_obj:
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stats = file_obj.readline().strip().split()
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usage = {}
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cpu_timings = [int(x) for x in stats[1:]]
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cpu_total = sum(cpu_timings)
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del cpu_timings[3:5]
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cpu_busy = sum(cpu_timings)
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for cpu, timings in self.get_cpu_timings().items():
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cpu_total = sum(timings)
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del timings[3:5]
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cpu_busy = sum(timings)
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cpu_usage = self.calculate_usage(cpu, cpu_total, cpu_busy)
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return cpu_total, cpu_busy
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usage['usage_' + cpu] = cpu_usage
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return usage
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def run(self):
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cpu_total, cpu_busy = self.get_usage()
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usage = self.get_usage()
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usage['format_all'] = self.gen_format_all(usage)
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diff_cpu_total = cpu_total - self.prev_idle
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diff_cpu_busy = cpu_busy - self.prev_busy
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self.prev_idle = cpu_total
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self.prev_busy = cpu_busy
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cpu_busy_percentage = int(diff_cpu_busy / diff_cpu_total * 100)
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# for backward compatibility
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usage['usage'] = usage['usage_cpu']
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self.output = {
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"full_text": self.format.format(
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usage=cpu_busy_percentage
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)
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"full_text": self.format.format_map(usage)
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}
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