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# -*- coding: utf-8 -*-
# Description: isc dhcpd lease netdata python.d module
# Author: l2isbad
from time import mktime, strptime, gmtime, time
from os import stat, access, R_OK
from os.path import isfile
try:
from ipaddress import ip_network, ip_address
have_ipaddress = True
except ImportError:
have_ipaddress = False
try:
from itertools import filterfalse
except ImportError:
from itertools import ifilterfalse as filterfalse
from base import SimpleService
priority = 60000
retries = 60
update_every = 5
ORDER = ['pools_utilization', 'pools_active_leases', 'leases_total', 'parse_time', 'leases_size']
CHARTS = {
'pools_utilization': {
'options': [None, 'Pools Utilization', 'used in percent', 'utilization',
'isc_dhcpd.utilization', 'line'],
'lines': []},
'pools_active_leases': {
'options': [None, 'Active Leases', 'leases per pool', 'active leases',
'isc_dhcpd.active_leases', 'line'],
'lines': []},
'leases_total': {
'options': [None, 'Total All Pools', 'number', 'active leases',
'isc_dhcpd.leases_total', 'line'],
'lines': [['leases_total', 'leases', 'absolute']]},
'parse_time': {
'options': [None, 'Parse Time', 'ms', 'parse stats',
'isc_dhcpd.parse_time', 'line'],
'lines': [['parse_time', 'time', 'absolute']]},
'leases_size': {
'options': [None, 'Dhcpd Leases File Size', 'kilobytes',
'parse stats', 'isc_dhcpd.leases_size', 'line'],
'lines': [['leases_size', 'size', 'absolute', 1, 1024]]}}
class Service(SimpleService):
def __init__(self, configuration=None, name=None):
SimpleService.__init__(self, configuration=configuration, name=name)
self.leases_path = self.configuration.get('leases_path', '/var/lib/dhcp/dhcpd.leases')
self.order = ORDER
self.definitions = CHARTS
self.pools = dict()
# Will work only with 'default' db-time-format (weekday year/month/day hour:minute:second)
# TODO: update algorithm to parse correctly 'local' db-time-format
# (epoch <seconds-since-epoch>; # <day-name> <month-name> <day-number> <hours>:<minutes>:<seconds> <year>)
# Also only ipv4 supported
def check(self):
if not have_ipaddress:
self.error('\'python-ipaddress\' module is needed')
return False
if not (isfile(self.leases_path) and access(self.leases_path, R_OK)):
self.error('Make sure leases_path is correct and leases log file is readable by netdata')
return False
if not self.configuration.get('pools'):
self.error('Pools are not defined')
return False
if not isinstance(self.configuration['pools'], dict):
self.error('Invalid \'pools\' format')
return False
for pool in self.configuration['pools']:
try:
net = ip_network(u'%s' % self.configuration['pools'][pool])
self.pools[pool] = dict(net=net, num_hosts=net.num_addresses - 2)
except ValueError as error:
self.error('%s removed, error: %s' % (self.configuration['pools'][pool], error))
if not self.pools:
return False
self.create_charts()
return True
def _get_raw_data(self):
"""
Parses log file
:return: tuple(
[ipaddress, lease end time, ...],
time to parse leases file
)
"""
try:
with open(self.leases_path) as leases:
time_start = time()
part1 = filterfalse(find_lease, leases)
part2 = filterfalse(find_ends, leases)
result = dict(zip(part1, part2))
time_end = time()
file_parse_time = round((time_end - time_start) * 1000)
return result, file_parse_time
except (OSError, IOError) as error:
self.error("Failed to parse leases file:", str(error))
return None
def _get_data(self):
"""
:return: dict
"""
raw_data = self._get_raw_data()
if not raw_data:
return None
raw_leases, parse_time = raw_data[0], raw_data[1]
# Result: {ipaddress: end lease time, ...}
active_leases, to_netdata = list(), dict()
current_time = mktime(gmtime())
for ip, lease_end_time in raw_leases.items():
# Result: [active binding, active binding....]. (Expire time (ends date;) - current time > 0)
if binding_active(lease_end_time=lease_end_time[7:-2],
current_time=current_time):
active_leases.append(ip_address(u'%s' % ip[6:-3]))
for pool in self.pools:
dim_id = pool.replace('.', '_')
pool_leases_count = len([ip for ip in active_leases if ip in self.pools[pool]['net']])
to_netdata[dim_id + '_active_leases'] = pool_leases_count
to_netdata[dim_id + '_utilization'] = float(pool_leases_count) / self.pools[pool]['num_hosts'] * 10000
to_netdata['leases_total'] = len(active_leases)
to_netdata['leases_size'] = stat(self.leases_path)[6]
to_netdata['parse_time'] = parse_time
return to_netdata
def create_charts(self):
for pool in self.pools:
dim, dim_id = pool, pool.replace('.', '_')
self.definitions['pools_utilization']['lines'].append([dim_id + '_utilization',
dim, 'absolute', 1, 100])
self.definitions['pools_active_leases']['lines'].append([dim_id + '_active_leases',
dim, 'absolute'])
def binding_active(lease_end_time, current_time):
return mktime(strptime(lease_end_time, '%w %Y/%m/%d %H:%M:%S')) - current_time > 0
def find_lease(value):
return value[0:3] != 'lea'
def find_ends(value):
return value[2:6] != 'ends'
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