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# -*- coding: utf-8 -*-
# Description: smart netdata python.d module
# Author: l2isbad, vorph1
from re import compile as r_compile
from os import listdir, access, R_OK
from os.path import isfile, join, getsize, basename, isdir
try:
from queue import Queue
except ImportError:
from Queue import Queue
from threading import Thread
from base import SimpleService
from collections import namedtuple
# default module values (can be overridden per job in `config`)
update_every = 5
priority = 60000
# charts order (can be overridden if you want less charts, or different order)
ORDER = ['1', '4', '5', '7', '9', '12', '193', '194', '197', '198', '200']
SMART_ATTR = {
'1': 'Read Error Rate',
'2': 'Throughput Performance',
'3': 'Spin-Up Time',
'4': 'Start/Stop Count',
'5': 'Reallocated Sectors Count',
'6': 'Read Channel Margin',
'7': 'Seek Error Rate',
'8': 'Seek Time Performance',
'9': 'Power-On Hours Count',
'10': 'Spin-up Retries',
'11': 'Calibration Retries',
'12': 'Power Cycle Count',
'13': 'Soft Read Error Rate',
'100': 'Erase/Program Cycles',
'103': 'Translation Table Rebuild',
'108': 'Unknown (108)',
'170': 'Reserved Block Count',
'171': 'Program Fail Count',
'172': 'Erase Fail Count',
'173': 'Wear Leveller Worst Case Erase Count',
'174': 'Unexpected Power Loss',
'175': 'Program Fail Count',
'176': 'Erase Fail Count',
'177': 'Wear Leveling Count',
'178': 'Used Reserved Block Count',
'179': 'Used Reserved Block Count',
'180': 'Unused Reserved Block Count',
'181': 'Program Fail Count',
'182': 'Erase Fail Count',
'183': 'SATA Downshifts',
'184': 'End-to-End error',
'185': 'Head Stability',
'186': 'Induced Op-Vibration Detection',
'187': 'Reported Uncorrectable Errors',
'188': 'Command Timeout',
'189': 'High Fly Writes',
'190': 'Temperature',
'191': 'G-Sense Errors',
'192': 'Power-Off Retract Cycles',
'193': 'Load/Unload Cycles',
'194': 'Temperature',
'195': 'Hardware ECC Recovered',
'196': 'Reallocation Events',
'197': 'Current Pending Sectors',
'198': 'Off-line Uncorrectable',
'199': 'UDMA CRC Error Rate',
'200': 'Write Error Rate',
'201': 'Soft Read Errors',
'202': 'Data Address Mark Errors',
'203': 'Run Out Cancel',
'204': 'Soft ECC Corrections',
'205': 'Thermal Asperity Rate',
'206': 'Flying Height',
'207': 'Spin High Current',
'209': 'Offline Seek Performance',
'220': 'Disk Shift',
'221': 'G-Sense Error Rate',
'222': 'Loaded Hours',
'223': 'Load/Unload Retries',
'224': 'Load Friction',
'225': 'Load/Unload Cycles',
'226': 'Load-in Time',
'227': 'Torque Amplification Count',
'228': 'Power-Off Retracts',
'230': 'GMR Head Amplitude',
'231': 'Temperature',
'232': 'Available Reserved Space',
'233': 'Media Wearout Indicator',
'240': 'Head Flying Hours',
'241': 'Total LBAs Written',
'242': 'Total LBAs Read',
'250': 'Read Error Retry Rate'
}
NAMED_DISKS = namedtuple('disks', ['name', 'size', 'number'])
class Service(SimpleService):
def __init__(self, configuration=None, name=None):
SimpleService.__init__(self, configuration=configuration, name=name)
self.regex = r_compile(r'(\d+);(\d+);(\d+)')
self.log_path = self.configuration.get('log_path', '/var/log/smartd')
self.raw_values = self.configuration.get('raw_values')
self.attr = self.configuration.get('smart_attributes', [])
self.previous_data = dict()
def check(self):
# Can\'t start without smartd readable diks log files
disks = find_disks_in_log_path(self.log_path)
if not disks:
self.error('Can\'t locate any smartd log files in %s' % self.log_path)
return False
# List of namedtuples to track smartd log file size
self.disks = [NAMED_DISKS(name=disks[i], size=0, number=i) for i in range(len(disks))]
if self._get_data():
self.create_charts()
return True
else:
self.error('Can\'t collect any data. Sorry.')
return False
def _get_raw_data(self, queue, disk):
# The idea is to open a file.
# Jump to the end.
# Seek backward until '\n' symbol appears
# If '\n' is found or it's the beginning of the file
# readline()! (last or first line)
with open(disk, 'rb') as f:
f.seek(-2, 2)
while f.read(1) != b'\n':
f.seek(-2, 1)
if f.tell() == 0:
break
result = f.readline()
result = result.decode()
result = self.regex.findall(result)
queue.put([basename(disk), result])
def _get_data(self):
threads, result = list(), list()
queue = Queue()
to_netdata = dict()
# If the size has not changed there is no reason to poll log files.
disks = [disk for disk in self.disks if self.size_changed(disk)]
if disks:
for disk in disks:
th = Thread(target=self._get_raw_data, args=(queue, disk.name))
th.start()
threads.append(th)
for thread in threads:
thread.join()
result.append(queue.get())
else:
# Data from last real poll
return self.previous_data or None
for elem in result:
for a, n, r in elem[1]:
to_netdata.update({'_'.join([elem[0], a]): r if self.raw_values else n})
self.previous_data.update(to_netdata)
return to_netdata or None
def size_changed(self, disk):
# We are not interested in log files:
# 1. zero size
# 2. size is not changed since last poll
try:
size = getsize(disk.name)
if size != disk.size and size:
self.disks[disk.number] = disk._replace(size=size)
return True
else:
return False
except OSError:
# Remove unreadable/nonexisting log files from list of disks and previous_data
self.disks.remove(disk)
self.previous_data = dict([(k, v) for k, v in self.previous_data.items() if basename(disk.name) not in k])
return False
def create_charts(self):
def create_lines(attrid):
result = list()
for disk in self.disks:
name = basename(disk.name)
result.append(['_'.join([name, attrid]), name[:name.index('.')], 'absolute'])
return result
# Use configured attributes, if present. If something goes wrong we don't care.
order = ORDER
try:
order = [attr for attr in self.attr.split() if attr in SMART_ATTR.keys()] or ORDER
except Exception:
pass
self.order = [''.join(['attrid', i]) for i in order]
self.definitions = dict()
units = 'raw' if self.raw_values else 'normalized'
for k, v in dict([(k, v) for k, v in SMART_ATTR.items() if k in ORDER]).items():
self.definitions.update({''.join(['attrid', k]): {
'options': [None, v, units, v.lower(), 'smartd.attrid' + k, 'line'],
'lines': create_lines(k)}})
def find_disks_in_log_path(log_path):
# smartd log file is OK if:
# 1. it is a file
# 2. file name endswith with 'csv'
# 3. file is readable
if not isdir(log_path): return None
return [join(log_path, f) for f in listdir(log_path)
if all([isfile(join(log_path, f)), f.endswith('.csv'), access(join(log_path, f), R_OK)])]
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