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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-05-04 14:31:17 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-05-04 14:31:17 +0000
commit8020f71afd34d7696d7933659df2d763ab05542f (patch)
tree2fdf1b5447ffd8bdd61e702ca183e814afdcb4fc /collectors/python.d.plugin/puppet/puppet.chart.py
parentInitial commit. (diff)
downloadnetdata-8020f71afd34d7696d7933659df2d763ab05542f.tar.xz
netdata-8020f71afd34d7696d7933659df2d763ab05542f.zip
Adding upstream version 1.37.1.upstream/1.37.1upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'collectors/python.d.plugin/puppet/puppet.chart.py')
-rw-r--r--collectors/python.d.plugin/puppet/puppet.chart.py121
1 files changed, 121 insertions, 0 deletions
diff --git a/collectors/python.d.plugin/puppet/puppet.chart.py b/collectors/python.d.plugin/puppet/puppet.chart.py
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+++ b/collectors/python.d.plugin/puppet/puppet.chart.py
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+# -*- 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. Individual 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