Viewing file:  cpuusage.py (3.88 KB) -rw-r--r--
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import time
import logging
from landscape.accumulate import Accumulator
from landscape.lib.monitor import CoverageMonitor
from landscape.monitor.plugin import MonitorPlugin
LAST_MESURE_KEY = "last-cpu-usage-measure"
ACCUMULATOR_KEY = "cpu-usage-accumulator"
class CPUUsage(MonitorPlugin):
"""
Plugin that captures CPU usage information.
"""
persist_name = "cpu-usage"
scope = "cpu"
# Prevent the Plugin base-class from scheduling looping calls.
run_interval = None
def __init__(self, interval=30, monitor_interval=60 * 60,
create_time=time.time):
self._interval = interval
self._monitor_interval = monitor_interval
self._cpu_usage_points = []
self._create_time = create_time
self._stat_file = "/proc/stat"
def register(self, registry):
super(CPUUsage, self).register(registry)
self._accumulate = Accumulator(self._persist, registry.step_size)
self.registry.reactor.call_every(self._interval, self.run)
self._monitor = CoverageMonitor(self._interval, 0.8,
"CPU usage snapshot",
create_time=self._create_time)
self.registry.reactor.call_every(self._monitor_interval,
self._monitor.log)
self.registry.reactor.call_on("stop", self._monitor.log, priority=2000)
self.call_on_accepted("cpu-usage", self.send_message, True)
def create_message(self):
cpu_points = self._cpu_usage_points
self._cpu_usage_points = []
return {"type": "cpu-usage", "cpu-usages": cpu_points}
def send_message(self, urgent=False):
message = self.create_message()
if len(message["cpu-usages"]):
self.registry.broker.send_message(message, self._session_id,
urgent=urgent)
def exchange(self, urgent=False):
self.registry.broker.call_if_accepted("cpu-usage",
self.send_message, urgent)
def run(self):
self._monitor.ping()
new_timestamp = int(self._create_time())
new_cpu_usage = self._get_cpu_usage(self._stat_file)
step_data = None
if new_cpu_usage is not None:
step_data = self._accumulate(new_timestamp, new_cpu_usage,
ACCUMULATOR_KEY)
if step_data is not None:
self._cpu_usage_points.append(step_data)
def _get_cpu_usage(self, stat_file):
"""
This method computes the CPU usage from C{stat_file}.
"""
result = None
try:
with open(stat_file, "r") as f:
# The first line of the file is the CPU information aggregated
# across cores.
stat = f.readline()
except IOError:
logging.error("Could not open %s for reading, "
"CPU usage cannot be computed.", stat_file)
return None
# The cpu line is composed of:
# ["cpu", user, nice, system, idle, iowait, irq, softirq, steal, guest,
# guest nice]
# The fields are a sum of USER_HZ quantums since boot spent in each
# "category". We need to keep track of what the previous measure was,
# since the current CPU usage will be calculated on the delta between
# the previous measure and the current measure.
# Remove the trailing "\n"
fields = stat.split()[1:]
idle = int(fields[3])
value = sum(int(i) for i in fields)
previous = self._persist.get(LAST_MESURE_KEY)
if previous is not None and value != previous[0]:
delta = value - previous[0]
if delta >= 0:
result = (delta - idle + previous[1]) / float(delta)
self._persist.set(LAST_MESURE_KEY, (value, idle))
return result
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