def __init__(self, log, config):
"""Plugin to measure various kernel metrics from /proc.
:param log: A logger
:type log: logging.RootLogger
:param config: a plumd.config.Conf configuration helper instance.
:type config: plumd.config.Conf
"""
super(Mem, self).__init__(log, config)
self.config.defaults(Mem.defaults)
self.proc_file = "{0}/meminfo".format(config.get('proc_path'))
self.filter = Filter()
self.gauges = self.config.get('proc_meminfo_gauges')
class Mem(plumd.Reader):
"""Plugin to measure various kernel metrics from /proc."""
defaults = {
'poll.interval': 10,
'proc_path': '/proc',
'proc_meminfo_gauges': ["MemTotal", "MemFree", "MemAvailable",
"Buffers", "Cached", "Active", "Inactive",
"Unevictable", "Mlocked", "SwapTotal",
"SwapFree", "Dirty", "Mapped", "Slab",
"SReclaimable", "SUnreclaim", "CommitLimit",
"Committed_AS", "VmallocTotal", "VmallocUsed",
"VmallocChunk", "HardwareCorrupted"]
}
def __init__(self, log, config):
"""Plugin to measure various kernel metrics from /proc.
:param log: A logger
:type log: logging.RootLogger
:param config: a plumd.config.Conf configuration helper instance.
:type config: plumd.config.Conf
"""
super(Mem, self).__init__(log, config)
self.config.defaults(Mem.defaults)
self.proc_file = "{0}/meminfo".format(config.get('proc_path'))
self.filter = Filter()
self.gauges = self.config.get('proc_meminfo_gauges')
def poll(self):
"""Poll for kernel metrics under /proc.
:rtype: ResultSet
"""
return plumd.ResultSet(self.check())
def check(self):
"""Return memory utilization metrics from proc file mem.
:rtype: plumd.Result
"""
result = plumd.Result("mem")
dat = []
metrics = {}
# read and process /proc/meminfo
with open(self.proc_file, 'r') as f:
dat = f.read().strip().split("\n")
# list of eg. ['MemTotal: 7902804 kB', ...]
for line in dat:
vals = line.split()
name = vals[0][:-1]
val = vals[1]
metrics[name] = val
# now record each metric configured
for mname in self.gauges:
if mname not in metrics:
self.log.error("proc: mem: unknown metric: {0}".format(mname))
self.gauges.remove(mname)
continue
mstr = self.filter.process(mname)
result.add(plumd.Int(mstr, metrics[mname]))
return [result]
