netdata/collectors/python.d.plugin/puppet/puppet.chart.py

124 lines
3.7 KiB
Python

# -*- coding: utf-8 -*-
# Description: puppet netdata python.d module
# Author: Andrey Galkin <andrey@futoin.org> (andvgal)
# SPDX-License-Identifier: GPL-3.0-or-later
#
# This module should work both with OpenSource and PE versions
# of PuppetServer and PuppetDB.
#
# NOTE: PuppetDB may be configured to require proper TLS
# client certificate for security reasons. Use tls_key_file
# and tls_cert_file options then.
#
import socket
from json import loads
from bases.FrameworkServices.UrlService import UrlService
update_every = 5
MiB = 1 << 20
CPU_SCALE = 1000
ORDER = [
'jvm_heap',
'jvm_nonheap',
'cpu',
'fd_open',
]
CHARTS = {
'jvm_heap': {
'options': [None, 'JVM Heap', 'MiB', 'resources', 'puppet.jvm', 'area'],
'lines': [
['jvm_heap_committed', 'committed', 'absolute', 1, MiB],
['jvm_heap_used', 'used', 'absolute', 1, MiB],
],
'variables': [
['jvm_heap_max'],
['jvm_heap_init'],
],
},
'jvm_nonheap': {
'options': [None, 'JVM Non-Heap', 'MiB', 'resources', 'puppet.jvm', 'area'],
'lines': [
['jvm_nonheap_committed', 'committed', 'absolute', 1, MiB],
['jvm_nonheap_used', 'used', 'absolute', 1, MiB],
],
'variables': [
['jvm_nonheap_max'],
['jvm_nonheap_init'],
],
},
'cpu': {
'options': [None, 'CPU usage', 'percentage', 'resources', 'puppet.cpu', 'stacked'],
'lines': [
['cpu_time', 'execution', 'absolute', 1, CPU_SCALE],
['gc_time', 'GC', 'absolute', 1, CPU_SCALE],
]
},
'fd_open': {
'options': [None, 'File Descriptors', 'descriptors', 'resources', 'puppet.fdopen', 'line'],
'lines': [
['fd_used', 'used', 'absolute'],
],
'variables': [
['fd_max'],
],
},
}
class Service(UrlService):
def __init__(self, configuration=None, name=None):
UrlService.__init__(self, configuration=configuration, name=name)
self.order = ORDER
self.definitions = CHARTS
self.url = 'https://{0}:8140'.format(socket.getfqdn())
def _get_data(self):
# NOTE: there are several ways to retrieve data
# 1. Only PE versions:
# https://puppet.com/docs/pe/2018.1/api_status/status_api_metrics_endpoints.html
# 2. Inidividual Metrics API (JMX):
# https://puppet.com/docs/pe/2018.1/api_status/metrics_api.html
# 3. Extended status at debug level:
# https://puppet.com/docs/pe/2018.1/api_status/status_api_json_endpoints.html
#
# For sake of simplicity and efficiency the status one is used..
raw_data = self._get_raw_data(self.url + '/status/v1/services?level=debug')
if raw_data is None:
return None
raw_data = loads(raw_data)
data = {}
try:
try:
jvm_metrics = raw_data['status-service']['status']['experimental']['jvm-metrics']
except KeyError:
jvm_metrics = raw_data['status-service']['status']['jvm-metrics']
heap_mem = jvm_metrics['heap-memory']
non_heap_mem = jvm_metrics['non-heap-memory']
for k in ['max', 'committed', 'used', 'init']:
data['jvm_heap_'+k] = heap_mem[k]
data['jvm_nonheap_'+k] = non_heap_mem[k]
fd_open = jvm_metrics['file-descriptors']
data['fd_max'] = fd_open['max']
data['fd_used'] = fd_open['used']
data['cpu_time'] = int(jvm_metrics['cpu-usage'] * CPU_SCALE)
data['gc_time'] = int(jvm_metrics['gc-cpu-usage'] * CPU_SCALE)
except KeyError:
pass
return data or None