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