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quay/util/metrics/prometheus.py

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2019-11-12 16:09:47 +00:00
import datetime
import json
import logging
from Queue import Queue, Full, Empty
from threading import Thread
import requests
logger = logging.getLogger(__name__)
QUEUE_MAX = 1000
MAX_BATCH_SIZE = 100
REGISTER_WAIT = datetime.timedelta(hours=1)
class PrometheusPlugin(object):
""" Application plugin for reporting metrics to Prometheus. """
def __init__(self, app=None):
self.app = app
if app is not None:
self.state = self.init_app(app)
else:
self.state = None
def init_app(self, app):
prom_url = app.config.get('PROMETHEUS_AGGREGATOR_URL')
prom_namespace = app.config.get('PROMETHEUS_NAMESPACE')
logger.debug('Initializing prometheus with aggregator url: %s', prom_url)
prometheus = Prometheus(prom_url, prom_namespace)
# register extension with app
app.extensions = getattr(app, 'extensions', {})
app.extensions['prometheus'] = prometheus
return prometheus
def __getattr__(self, name):
return getattr(self.state, name, None)
class Prometheus(object):
""" Aggregator for collecting stats that are reported to Prometheus. """
def __init__(self, url=None, namespace=None):
self._metric_collectors = []
self._url = url
self._namespace = namespace or ''
if url is not None:
self._queue = Queue(QUEUE_MAX)
self._sender = _QueueSender(self._queue, url, self._metric_collectors)
self._sender.start()
logger.debug('Prometheus aggregator sending to %s', url)
else:
self._queue = None
logger.debug('Prometheus aggregator disabled')
def enqueue(self, call, data):
if not self._queue:
return
v = json.dumps({
'Call': call,
'Data': data,
})
if call == 'register':
self._metric_collectors.append(v)
return
try:
self._queue.put_nowait(v)
except Full:
# If the queue is full, it is because 1) no aggregator was enabled or 2)
# the aggregator is taking a long time to respond to requests. In the case
# of 1, it's probably enterprise mode and we don't care. In the case of 2,
# the response timeout error is printed inside the queue handler. In either case,
# we don't need to print an error here.
pass
def create_gauge(self, *args, **kwargs):
return self._create_collector('Gauge', args, kwargs)
def create_counter(self, *args, **kwargs):
return self._create_collector('Counter', args, kwargs)
def create_summary(self, *args, **kwargs):
return self._create_collector('Summary', args, kwargs)
def create_histogram(self, *args, **kwargs):
return self._create_collector('Histogram', args, kwargs)
def create_untyped(self, *args, **kwargs):
return self._create_collector('Untyped', args, kwargs)
def _create_collector(self, collector_type, args, kwargs):
kwargs['namespace'] = kwargs.get('namespace', self._namespace)
return _Collector(self.enqueue, collector_type, *args, **kwargs)
class _QueueSender(Thread):
""" Helper class which uses a thread to asynchronously send metrics to the local Prometheus
aggregator. """
def __init__(self, queue, url, metric_collectors):
Thread.__init__(self)
self.daemon = True
self.next_register = datetime.datetime.now()
self._queue = queue
self._url = url
self._metric_collectors = metric_collectors
def run(self):
while True:
reqs = []
reqs.append(self._queue.get())
while len(reqs) < MAX_BATCH_SIZE:
try:
req = self._queue.get_nowait()
reqs.append(req)
except Empty:
break
try:
resp = requests.post(self._url + '/call', '\n'.join(reqs))
if resp.status_code == 500 and self.next_register <= datetime.datetime.now():
resp = requests.post(self._url + '/call', '\n'.join(self._metric_collectors))
self.next_register = datetime.datetime.now() + REGISTER_WAIT
logger.debug('Register returned %s for %s metrics; setting next to %s', resp.status_code,
len(self._metric_collectors), self.next_register)
elif resp.status_code != 200:
logger.debug('Failed sending to prometheus: %s: %s: %s', resp.status_code, resp.text,
', '.join(reqs))
else:
logger.debug('Sent %d prometheus metrics', len(reqs))
except:
logger.exception('Failed to write to prometheus aggregator: %s', reqs)
class _Collector(object):
""" Collector for a Prometheus metric. """
def __init__(self, enqueue_method, collector_type, collector_name, collector_help,
namespace='', subsystem='', **kwargs):
self._enqueue_method = enqueue_method
self._base_args = {
'Name': collector_name,
'Namespace': namespace,
'Subsystem': subsystem,
'Type': collector_type,
}
registration_params = dict(kwargs)
registration_params.update(self._base_args)
registration_params['Help'] = collector_help
self._enqueue_method('register', registration_params)
def __getattr__(self, method):
def f(value=0, labelvalues=()):
data = dict(self._base_args)
data.update({
'Value': value,
'LabelValues': [str(i) for i in labelvalues],
'Method': method,
})
self._enqueue_method('put', data)
return f