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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-05-06 01:22:31 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-05-06 01:22:31 +0000 |
commit | 8d4f58e49b9dc7d3545651023a36729de773ad86 (patch) | |
tree | 7bc7be4a8e9e298daa1349348400aa2a653866f2 /collectors/python.d.plugin/puppet/puppet.chart.py | |
parent | Initial commit. (diff) | |
download | netdata-upstream.tar.xz netdata-upstream.zip |
Adding upstream version 1.12.0.upstream/1.12.0upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to '')
-rw-r--r-- | collectors/python.d.plugin/puppet/puppet.chart.py | 123 |
1 files changed, 123 insertions, 0 deletions
diff --git a/collectors/python.d.plugin/puppet/puppet.chart.py b/collectors/python.d.plugin/puppet/puppet.chart.py new file mode 100644 index 0000000..30e219d --- /dev/null +++ b/collectors/python.d.plugin/puppet/puppet.chart.py @@ -0,0 +1,123 @@ +# -*- 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 |