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
new file mode 100644
index 000000000..5c8e48bd9
--- /dev/null
+++ b/collectors/python.d.plugin/puppet/puppet.chart.py
@@ -0,0 +1,121 @@
+# -*- 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.
+#
+
+from bases.FrameworkServices.UrlService import UrlService
+from json import loads
+import socket
+
+update_every = 5
+priority = 60000
+# very long clojure-based service startup time
+retries = 180
+
+MB = 1048576
+CPU_SCALE = 1000
+ORDER = [
+    'jvm_heap',
+    'jvm_nonheap',
+    'cpu',
+    'fd_open',
+]
+CHARTS = {
+    'jvm_heap': {
+        'options': [None, 'JVM Heap', 'MB', 'resources', 'puppet.jvm', 'area'],
+        'lines': [
+            ['jvm_heap_committed', 'committed', 'absolute', 1, MB],
+            ['jvm_heap_used', 'used', 'absolute', 1, MB],
+        ],
+        'variables': [
+            ['jvm_heap_max'],
+            ['jvm_heap_init'],
+        ],
+    },
+    'jvm_nonheap': {
+        'options': [None, 'JVM Non-Heap', 'MB', 'resources', 'puppet.jvm', 'area'],
+        'lines': [
+            ['jvm_nonheap_committed', 'committed', 'absolute', 1, MB],
+            ['jvm_nonheap_used', 'used', 'absolute', 1, MB],
+        ],
+        '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.url = 'https://{0}:8140'.format(socket.getfqdn())
+        self.order = ORDER
+        self.definitions = CHARTS
+
+    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