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fix puppetdb collector, so it can work on all version of puppetdb #545

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fix puppetdb collector, so it can work on all version of puppetdb #545

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d424139
fix puppetdb collector, so it can work on all version of puppetdb
ashish1099 Oct 21, 2016
ac1dcba
indent fix as per pep8
ashish1099 Oct 21, 2016
c3373fb
changed path, to have consistency with all the other collector path
ashish1099 Oct 21, 2016
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254 changes: 141 additions & 113 deletions src/collectors/puppetdb/puppetdb.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,55 +22,13 @@

class PuppetDBCollector(diamond.collector.Collector):

PATHS = {
'memory':
"v2/metrics/mbean/java.lang:type=Memory",
'queue':
"v2/metrics/mbean/org.apache.activemq:BrokerName=localhost," +
"Type=Queue,Destination=com.puppetlabs.puppetdb.commands",
'processing-time':
"v2/metrics/mbean/com.puppetlabs.puppetdb.command:" +
"type=global,name=processing-time",
'processed':
"v2/metrics/mbean/com.puppetlabs.puppetdb.command:" +
"type=global,name=processed",
'retried':
"v2/metrics/mbean/com.puppetlabs.puppetdb.command:" +
"type=global,name=retried",
'discarded':
"v2/metrics/mbean/com.puppetlabs.puppetdb.command:" +
"type=global,name=discarded",
'fatal': "v2/metrics/mbean/com.puppetlabs.puppetdb.command:" +
"type=global,name=fatal",
'commands.service-time':
"v2/metrics/mbean/com.puppetlabs.puppetdb." +
"http.server:type=/v3/commands,name=service-time",
'resources.service-time':
"v2/metrics/mbean/com.puppetlabs.puppetdb." +
"http.server:type=/v3/resources,name=service-time",
'gc-time':
"v2/metrics/mbean/com.puppetlabs.puppetdb.scf.storage:" +
"type=default,name=gc-time",
'duplicate-pct':
"v2/metrics/mbean/com.puppetlabs.puppetdb.scf.storage:" +
"type=default,name=duplicate-pct",
'pct-resource-dupes':
"v2/metrics/mbean/com.puppetlabs.puppetdb.query." +
"population:type=default,name=pct-resource-dupes",
'num-nodes':
"v2/metrics/mbean/com.puppetlabs.puppetdb.query." +
"population:type=default,name=num-nodes",
'num-resources':
"v2/metrics/mbean/com.puppetlabs.puppetdb.query." +
"population:type=default,name=num-resources",
}

def get_default_config_help(self):
config_help = super(PuppetDBCollector,
self).get_default_config_help()
config_help.update({
'host': 'Hostname to collect from',
'port': 'Port number to collect from',
'metric_path': 'metrics/v1/mbeans',
})
return config_help

Expand All @@ -82,88 +40,158 @@ def get_default_config(self):
config.update({
'host': 'localhost',
'port': 8080,
'path': 'PuppetDB',
'path': 'puppetdb',
'metric_path': 'metrics/v1/mbeans',
})
return config

def metrics_name(self, path):
try:
response = {}
for key, value in path.iteritems():
if type(value) is int or type(value) is float:
response[key] = value
except Exception, e:
self.log.error('Couldn\'t parse the given value %s', path, e)
return {}
return response

def fetch_metrics(self, url):
try:
url = "http://%s:%s/%s" % (
self.config['host'], int(self.config['port']), url)
url = "http://%s:%s/%s/%s" % (
self.config['host'], int(self.config['port']),
self.config['metric_path'], url)
response = urllib2.urlopen(url)
except Exception, e:
self.log.error('Couldn\'t connect to puppetdb: %s -> %s', url, e)
return {}
return json.load(response)

def send_data(self, metric_name, metric):
try:
if metric is not None:
for key, value in self.metrics_name(metric).iteritems():
self.publish_gauge('%s.%s' % (metric_name, key), value)
except Exception, e:
self.log.error('Couldn\'t send metrics for this %s', metric, e)

def collect(self):
if 'v1' in self.config['metric_path']:
PATHS = {
'memory':
"java.lang:type=Memory",
'queue':
"org.apache.activemq:type=Broker,brokerName=localhost," +
"destinationType=Queue,destinationName=" +
"puppetlabs.puppetdb.commands",
'processing-time':
"puppetlabs.puppetdb.mq:name=global.processing-time",
'processed':
"puppetlabs.puppetdb.mq:name=global.processed",
'retried':
"puppetlabs.puppetdb.mq:name=global.retried",
'discarded':
"puppetlabs.puppetdb.mq:name=global.discarded",
'fatal':
"puppetlabs.puppetdb.mq:name=global.fatal",
'commands.service-time':
"puppetlabs.puppetdb.http:name=/pdb/cmd/v1.service-time",
'resources.service-time':
"puppetlabs.puppetdb.http:name=" +
"/pdb/query/v4/resources.service-time",
'gc-time':
"puppetlabs.puppetdb.storage:name=gc-time",
'duplicate-pct':
"puppetlabs.puppetdb.storage:name=duplicate-pct",
'pct-resource-dupes':
"puppetlabs.puppetdb.population:name=pct-resource-dupes",
'num-nodes':
"puppetlabs.puppetdb.population:name=num-nodes",
'num-resources':
"puppetlabs.puppetdb.population:name=num-resources",
'resources-per-node':
"puppetlabs.puppetdb.population:name=" +
"avg-resources-per-node",
}
else:
PATHS = {
'memory':
"java.lang:type=Memory",
'queue':
"org.apache.activemq:BrokerName=localhost,Type=Queue," +
"Destination=com.puppetlabs.puppetdb.commands",
'processing-time':
"com.puppetlabs.puppetdb.command:type=" +
"global,name=processing-time",
'processed':
"com.puppetlabs.puppetdb.command:type=" +
"global,name=processed",
'retried':
"com.puppetlabs.puppetdb.command:type=" +
"global,name=retried",
'discarded':
"com.puppetlabs.puppetdb.command:type=" +
"global,name=discarded",
'fatal':
"com.puppetlabs.puppetdb.command:type=global,name=fatal",
'commands.service-time':
"com.puppetlabs.puppetdb.http.server:" +
"type=/v3/commands,name=service-time",
'resources.service-time':
"com.puppetlabs.puppetdb.http.server:" +
"type=/v3/resources,name=service-time",
'gc-time':
"com.puppetlabs.puppetdb.scf.storage:" +
"type=default,name=gc-time",
'duplicate-pct':
"com.puppetlabs.puppetdb.scf.storage:" +
"type=default,name=duplicate-pct",
'pct-resource-dupes':
"com.puppetlabs.puppetdb.query.population" +
":type=default,name=pct-resource-dupes",
'num-nodes':
"com.puppetlabs.puppetdb.query.population" +
":type=default,name=num-nodes",
'num-resources':
"com.puppetlabs.puppetdb.query.population" +
":type=default,name=num-resources",
}

rawmetrics = {}
for subnode in self.PATHS:
path = self.PATHS[subnode]

for subnode in PATHS:
path = PATHS[subnode]
rawmetrics[subnode] = self.fetch_metrics(path)

self.publish_gauge('num_resources',
rawmetrics['num-resources']['Value'])
self.publish_gauge('catalog_duplicate_pct',
rawmetrics['duplicate-pct']['Value'])
self.publish_gauge(
'sec_command',
time_convertor.convert(
rawmetrics['processing-time']['50thPercentile'],
rawmetrics['processing-time']['LatencyUnit'],
'seconds'))
self.publish_gauge(
'resources_service_time',
time_convertor.convert(
rawmetrics['resources.service-time']['50thPercentile'],
rawmetrics['resources.service-time']['LatencyUnit'],
'seconds'))
self.publish_gauge(
'enqueueing_service_time',
time_convertor.convert(
rawmetrics['commands.service-time']['50thPercentile'],
rawmetrics['commands.service-time']['LatencyUnit'],
'seconds'))

self.publish_gauge('discarded', rawmetrics['discarded']['Count'])
self.publish_gauge('processed', rawmetrics['processed']['Count'])
self.publish_gauge('rejected', rawmetrics['fatal']['Count'])
self.publish_gauge(
'DB_Compaction',
time_convertor.convert(
rawmetrics['gc-time']['50thPercentile'],
rawmetrics['gc-time']['LatencyUnit'],
'seconds'))
self.publish_gauge('resource_duplicate_pct',
rawmetrics['pct-resource-dupes']['Value'])
self.publish_gauge('num_nodes',
rawmetrics['num-nodes']['Value'])

self.publish_counter('queue.ProducerCount',
rawmetrics['queue']['ProducerCount'])
self.publish_counter('queue.DequeueCount',
rawmetrics['queue']['DequeueCount'])
self.publish_counter('queue.ConsumerCount',
rawmetrics['queue']['ConsumerCount'])
self.publish_gauge('queue.QueueSize',
rawmetrics['queue']['QueueSize'])
self.publish_counter('queue.ExpiredCount',
rawmetrics['queue']['ExpiredCount'])
self.publish_counter('queue.EnqueueCount',
rawmetrics['queue']['EnqueueCount'])
self.publish_counter('queue.InFlightCount',
rawmetrics['queue']['InFlightCount'])
self.publish_gauge('queue.CursorPercentUsage',
rawmetrics['queue']['CursorPercentUsage'])
self.publish_gauge('queue.MemoryUsagePortion',
rawmetrics['queue']['MemoryUsagePortion'])

self.publish_gauge('memory.NonHeapMemoryUsage.used',
rawmetrics['memory']['NonHeapMemoryUsage']['used'])
self.publish_gauge(
'memory.NonHeapMemoryUsage.committed',
rawmetrics['memory']['NonHeapMemoryUsage']['committed'])
self.publish_gauge('memory.HeapMemoryUsage.used',
rawmetrics['memory']['HeapMemoryUsage']['used'])
self.publish_gauge('memory.HeapMemoryUsage.committed',
rawmetrics['memory']['HeapMemoryUsage']['committed'])
# Memory
# NonHeapMemoryUsage
memory = ['NonHeapMemoryUsage', 'HeapMemoryUsage']
values = ['committed', 'init', 'max', 'used']
for i in memory:
for v in values:
self.publish_gauge(
'memory.%s.%s' % (i, v),
rawmetrics['memory'][i][v]
)

# Send Data
self.send_data('queue', rawmetrics['queue'])
self.send_data('processing_time', rawmetrics['processing-time'])
self.send_data('processed', rawmetrics['processed'])
self.send_data('retried', rawmetrics['retried'])
self.send_data('discarded', rawmetrics['discarded'])
self.send_data('fatal', rawmetrics['fatal'])
self.send_data(
'commands.service-time',
rawmetrics['commands.service-time']
)
self.send_data(
'resources.service-time',
rawmetrics['resources.service-time']
)
self.send_data('gc-time', rawmetrics['gc-time'])
self.send_data('duplicate-pct', rawmetrics['duplicate-pct'])
self.send_data('pct-resource-dupes', rawmetrics['pct-resource-dupes'])
self.send_data('num-nodes', rawmetrics['num-nodes'])
self.send_data('num-resources', rawmetrics['num-resources'])
self.send_data('resources-per-node', rawmetrics['resources-per-node'])