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# -*- coding: utf-8 -*- |
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"""Reader plugin to record process metrics from /proc on Linux.""" |
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import time |
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from collections import deque |
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import plumd |
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from plumd.util import Differential |
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from plumd.util import get_file_map |
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__author__ = 'Kenny Freeman' |
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__email__ = '[email protected]' |
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__license__ = "ISCL" |
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__docformat__ = 'reStructuredText' |
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# todo: switch from list with pop(0) to deque |
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class Stat(plumd.Reader): |
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"""Class to read metrics from /proc/stat""" |
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defaults = { |
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'proc_stat_gauges': ['procs_running', 'procs_blocked'], |
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'proc_stat_rates': ['intr', 'ctxt', 'softirq'], |
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'cpu_metrics': ["user", "nice", "system", "idle", "iowait", "irq", |
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"softirq", "steal", "guest", "guest_nice"], |
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'per_cpu': False, |
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} |
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def __init__(self, log, config): |
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"""Plugin to measure various kernel metrics from /proc/stat |
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:param log: A logger |
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:type log: logging.RootLogger |
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:param config: a plumd.config.Conf configuration helper instance. |
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:type config: plumd.config.Conf |
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""" |
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super(Stat, self).__init__(log, config) |
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self.config.defaults(Stat.defaults) |
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self.calc = Differential() |
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self.proc_file = "{0}/stat".format(config.get('proc_path')) |
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self.per_cpu = self.config.get('per_cpu') |
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self.cpu_metrics = self.config.get('cpu_metrics') |
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self.gauges = self.config.get('proc_stat_gauges') |
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self.rates = self.config.get('proc_stat_rates') |
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def poll(self): |
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"""Return cpu utilization and process metrics from proc file stat. |
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:rtype: plumd.ResultSet |
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""" |
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return plumd.ResultSet(self.check()) |
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def check(self): |
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"""Return cpu utilization and process metrics from proc file stat. |
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:rtype: collections.deque |
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""" |
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results = deque() |
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result = plumd.Result("stat") |
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dat = get_file_map(self.proc_file, 0, 0) |
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ts = time.time() |
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# record gauges |
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for i, metric in enumerate(self.gauges): |
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if metric not in dat: |
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self.log.warn("stat: unknown metric {0}".format(metric)) |
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del self.gauges[i] |
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continue |
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result.add(plumd.Int(metric, dat[metric][0])) |
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# record rates |
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for i, metric in enumerate(self.rates): |
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if metric not in dat: |
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self.log.warn("stat: unknown metric {0}".format(metric)) |
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del self.rates[i] |
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continue |
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mval = self.calc.per_second(metric, float(dat[metric][0]), ts) |
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result.add(plumd.Int(metric, mval)) |
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# record cpu |
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if "cpu" in dat: |
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results.append(self.proc_stat_cpu("cpu", "cpu", dat["cpu"], ts)) |
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# record each cpu if configured |
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if self.per_cpu: |
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for i in xrange(0, len(dat)): |
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mstr = "cpu{0}".format(i) |
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if mstr not in dat: |
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break |
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results.append(self.proc_stat_cpu("cpus", mstr, dat[mstr], ts)) |
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results.append(result) |
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return results |
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def proc_stat_cpu(self, rname, key, val, ts): |
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"""Return cpu utilization metrics in percentage. |
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:param rname: The Result name (eg. cpu or cpus) |
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:type rname: str |
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:param val: A deque populated with the metric values from stat |
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:type val: deque |
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:rtype: list |
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""" |
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result = plumd.Result(rname) |
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cpu = self.cpu_metrics |
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for map_val in cpu: |
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if not val: |
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break |
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mstr = "{0}_{1}".format(key, map_val) |
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mval = self.calc.per_second(mstr, float(val.popleft()), ts) |
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result.add(plumd.Float(mstr, mval)) |
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return result |
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s4z /
plumd
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