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#!/usr/bin/env python3
import argparse
import collections
import csv
import datetime
import decimal
import re
import shlex
import subprocess
import sys
device_info_re = re.compile(r'^(?P<k>[^:]+?)(?:(?:\sis|):)\s*(?P<v>.*)$')
ata_error_count_re = re.compile(
r'^Error (\d+) \[\d+\] occurred', re.MULTILINE)
self_test_re = re.compile(r'^SMART.*(PASSED|OK)$', re.MULTILINE)
device_info_map = {
'Vendor': 'vendor',
'Product': 'product',
'Revision': 'revision',
'Logical Unit id': 'lun_id',
'Model Family': 'model_family',
'Device Model': 'device_model',
'Serial Number': 'serial_number',
'Firmware Version': 'firmware_version',
}
smart_attributes_whitelist = {
'airflow_temperature_cel',
'command_timeout',
'current_pending_sector',
'end_to_end_error',
'erase_fail_count_total',
'g_sense_error_rate',
'hardware_ecc_recovered',
'host_reads_mib',
'host_reads_32mib',
'host_writes_mib',
'host_writes_32mib',
'load_cycle_count',
'media_wearout_indicator',
'wear_leveling_count',
'nand_writes_1gib',
'offline_uncorrectable',
'power_cycle_count',
'power_on_hours',
'program_fail_count',
'raw_read_error_rate',
'reallocated_event_count',
'reallocated_sector_ct',
'reported_uncorrect',
'sata_downshift_count',
'seek_error_rate',
'spin_retry_count',
'spin_up_time',
'start_stop_count',
'temperature_case',
'temperature_celsius',
'temperature_internal',
'total_lbas_read',
'total_lbas_written',
'udma_crc_error_count',
'unsafe_shutdown_count',
'workld_host_reads_perc',
'workld_media_wear_indic',
'workload_minutes',
}
Metric = collections.namedtuple('Metric', 'name labels value')
SmartAttribute = collections.namedtuple('SmartAttribute', [
'id', 'name', 'flag', 'value', 'worst', 'threshold', 'type', 'updated',
'when_failed', 'raw_value',
])
class Device(collections.namedtuple('DeviceBase', 'path opts')):
"""Representation of a device as found by smartctl --scan output."""
@property
def type(self):
return self.opts.type
@property
def base_labels(self):
return {'device': self.path, 'disk': self.type.partition('+')[2] or '0'}
def smartctl_select(self):
return ['--device', self.type, self.path]
def metric_key(metric, prefix=''):
return '{prefix}{metric.name}'.format(prefix=prefix, metric=metric)
def metric_format(metric, prefix=''):
key = metric_key(metric, prefix)
labels = ','.join(
'{k}="{v}"'.format(k=k, v=v.replace('"', '\\"')) for k, v in metric.labels.items())
value = decimal.Decimal(metric.value)
return '{key}{{{labels}}} {value}'.format(
key=key, labels=labels, value=value)
def metric_print_meta(metric, prefix=''):
key = metric_key(metric, prefix)
print('# HELP {key} SMART metric {metric.name}'.format(
key=key, metric=metric))
print('# TYPE {key} gauge'.format(key=key))
def metric_print(metric, prefix=''):
print(metric_format(metric, prefix))
def smart_ctl(*args, check=True):
"""Wrapper around invoking the smartctl binary.
Returns:
(str) Data piped to stdout by the smartctl subprocess.
"""
return subprocess.run(
['smartctl', *args], stdout=subprocess.PIPE, check=check
).stdout.decode('utf-8')
def smart_ctl_version():
return smart_ctl('-V').split('\n')[0].split()[1]
def find_devices():
"""Find SMART devices.
Yields:
(Device) Single device found by smartctl.
"""
parser = argparse.ArgumentParser()
parser.add_argument('-d', '--device', dest='type')
devices = smart_ctl('--scan-open')
for device in devices.split('\n'):
device = device.strip()
if not device:
continue
tokens = shlex.split(device, comments=True)
if not tokens:
continue
yield Device(tokens[0], parser.parse_args(tokens[1:]))
def device_is_active(device):
"""Returns whenever the given device is currently active or not.
Args:
device: (Device) Device in question.
Returns:
(bool) True if the device is active and False otherwise.
"""
try:
smart_ctl('--nocheck', 'standby', *device.smartctl_select())
except subprocess.CalledProcessError:
return False
return True
def device_info(device):
"""Query device for basic model information.
Args:
device: (Device) Device in question.
Returns:
(generator): Generator yielding:
key (str): Key describing the value.
value (str): Actual value.
"""
info_lines = smart_ctl(
'--info', *device.smartctl_select()
).strip().split('\n')[3:]
matches = (device_info_re.match(line) for line in info_lines)
return (m.groups() for m in matches if m is not None)
def device_smart_capabilities(device):
"""Returns SMART capabilities of the given device.
Args:
device: (Device) Device in question.
Returns:
(tuple): tuple containing:
(bool): True whenever SMART is available, False otherwise.
(bool): True whenever SMART is enabled, False otherwise.
"""
groups = device_info(device)
state = {
g[1].split(' ', 1)[0]
for g in groups if g[0] == 'SMART support'}
smart_available = 'Available' in state
smart_enabled = 'Enabled' in state
return smart_available, smart_enabled
def collect_device_info(device):
"""Collect basic device information.
Args:
device: (Device) Device in question.
Yields:
(Metric) metrics describing general device information.
"""
values = dict(device_info(device))
yield Metric('device_info', {
**device.base_labels,
**{v: values[k] for k, v in device_info_map.items() if k in values}
}, True)
def collect_device_health_self_assessment(device):
"""Collect metric about the device health self assessment.
Args:
device: (Device) Device in question.
Yields:
(Metric) Device health self assessment.
"""
out = smart_ctl('--health', *device.smartctl_select(), check=False)
self_assessment_passed = bool(self_test_re.search(out))
yield Metric(
'device_smart_healthy', device.base_labels, self_assessment_passed)
def collect_ata_metrics(device):
# Fetch SMART attributes for the given device.
attributes = smart_ctl(
'--attributes', *device.smartctl_select()
)
# replace multiple occurrences of whitespace with a single whitespace
# so that the CSV Parser recognizes individual columns properly.
attributes = re.sub(r'[\t\x20]+', ' ', attributes)
# Turn smartctl output into a list of lines and skip to the table of
# SMART attributes.
attribute_lines = attributes.strip().split('\n')[7:]
# Some attributes have multiple IDs but have the same name. Don't
# yield attributes that already have been reported before.
seen = set()
reader = csv.DictReader(
(line.strip() for line in attribute_lines),
fieldnames=SmartAttribute._fields[:-1],
restkey=SmartAttribute._fields[-1], delimiter=' ')
for entry in reader:
# We're only interested in the SMART attributes that are
# whitelisted here.
entry['name'] = entry['name'].lower()
if entry['name'] not in smart_attributes_whitelist:
continue
# Ensure that only the numeric parts are fetched from the raw_value.
# Attributes such as 194 Temperature_Celsius reported by my SSD
# are in the format of "36 (Min/Max 24/40)" which can't be expressed
# properly as a prometheus metric.
m = re.match(r'^(\d+)', ' '.join(entry['raw_value']))
if not m:
continue
entry['raw_value'] = m.group(1)
# Some device models report "---" in the threshold value where most
# devices would report "000". We do the substitution here because
# downstream code expects values to be convertable to integer.
if entry['threshold'] == '---':
entry['threshold'] = '0'
if entry['name'] in smart_attributes_whitelist and entry['name'] not in seen:
labels = {
'name': entry['name'],
**device.base_labels,
}
for col in 'value', 'worst', 'threshold', 'raw_value':
yield Metric(
'attr_{col}'.format(col=col),
labels, entry[col])
seen.add(entry['name'])
def collect_ata_error_count(device):
"""Inspect the device error log and report the amount of entries.
Args:
device: (Device) Device in question.
Yields:
(Metric) Device error count.
"""
error_log = smart_ctl(
'-l', 'xerror,1', *device.smartctl_select(), check=False)
m = ata_error_count_re.search(error_log)
error_count = m.group(1) if m is not None else 0
yield Metric('device_errors', device.base_labels, error_count)
def collect_disks_smart_metrics(wakeup_disks):
now = int(datetime.datetime.utcnow().timestamp())
for device in find_devices():
yield Metric('smartctl_run', device.base_labels, now)
is_active = device_is_active(device)
yield Metric('device_active', device.base_labels, is_active)
# Skip further metrics collection to prevent the disk from
# spinning up.
if not is_active and not wakeup_disks:
continue
yield from collect_device_info(device)
smart_available, smart_enabled = device_smart_capabilities(device)
yield Metric(
'device_smart_available', device.base_labels, smart_available)
yield Metric(
'device_smart_enabled', device.base_labels, smart_enabled)
# Skip further metrics collection here if SMART is disabled
# on the device. Further smartctl invocations would fail
# anyways.
if not smart_available:
continue
yield from collect_device_health_self_assessment(device)
if device.type.startswith('sat'):
yield from collect_ata_metrics(device)
yield from collect_ata_error_count(device)
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-s', '--wakeup-disks', dest='wakeup_disks', action='store_true')
args = parser.parse_args(sys.argv[1:])
version_metric = Metric('smartctl_version', {
'version': smart_ctl_version()
}, True)
metric_print_meta(version_metric, 'smartmon_')
metric_print(version_metric, 'smartmon_')
metrics = list(collect_disks_smart_metrics(args.wakeup_disks))
metrics.sort(key=lambda i: i.name)
previous_name = None
for m in metrics:
if m.name != previous_name:
metric_print_meta(m, 'smartmon_')
previous_name = m.name
metric_print(m, 'smartmon_')
if __name__ == '__main__':
main()
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