本文整理汇总了Python中utils.kubernetes.KubeUtil.process_events方法的典型用法代码示例。如果您正苦于以下问题：Python KubeUtil.process_events方法的具体用法？Python KubeUtil.process_events怎么用？Python KubeUtil.process_events使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类utils.kubernetes.KubeUtil的用法示例。
在下文中一共展示了KubeUtil.process_events方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: Kubernetes
# 需要导入模块: from utils.kubernetes import KubeUtil [as 别名]
# 或者: from utils.kubernetes.KubeUtil import process_events [as 别名]
#.........这里部分代码省略.........
else:
self.service_check(service_check_base, AgentCheck.CRITICAL)
def check(self, instance):
self.max_depth = instance.get('max_depth', DEFAULT_MAX_DEPTH)
enabled_gauges = instance.get('enabled_gauges', DEFAULT_ENABLED_GAUGES)
self.enabled_gauges = ["{0}.{1}".format(NAMESPACE, x) for x in enabled_gauges]
enabled_rates = instance.get('enabled_rates', DEFAULT_ENABLED_RATES)
self.enabled_rates = ["{0}.{1}".format(NAMESPACE, x) for x in enabled_rates]
self.publish_aliases = _is_affirmative(instance.get('publish_aliases', DEFAULT_PUBLISH_ALIASES))
self.use_histogram = _is_affirmative(instance.get('use_histogram', DEFAULT_USE_HISTOGRAM))
self.publish_rate = FUNC_MAP[RATE][self.use_histogram]
self.publish_gauge = FUNC_MAP[GAUGE][self.use_histogram]
# initialized by _filter_containers
self._filtered_containers = set()
try:
pods_list = self.kubeutil.retrieve_pods_list()
except:
pods_list = None
# kubelet health checks
self._perform_kubelet_checks(self.kubeutil.kube_health_url)
if pods_list is not None:
# kubelet metrics
self._update_metrics(instance, pods_list)
# kubelet events
if self.event_retriever is not None:
try:
events = self.event_retriever.get_event_array()
changed_cids = self.kubeutil.process_events(events, podlist=pods_list)
if (changed_cids and self._sd_backend):
self._sd_backend.update_checks(changed_cids)
if events and self._collect_events:
self._update_kube_events(instance, pods_list, events)
except Exception as ex:
self.log.error("Event collection failed: %s" % str(ex))
def _publish_raw_metrics(self, metric, dat, tags, depth=0):
if depth >= self.max_depth:
self.log.warning('Reached max depth on metric=%s' % metric)
return
if isinstance(dat, numbers.Number):
if self.enabled_rates and any([fnmatch(metric, pat) for pat in self.enabled_rates]):
self.publish_rate(self, metric, float(dat), tags)
elif self.enabled_gauges and any([fnmatch(metric, pat) for pat in self.enabled_gauges]):
self.publish_gauge(self, metric, float(dat), tags)
elif isinstance(dat, dict):
for k, v in dat.iteritems():
self._publish_raw_metrics(metric + '.%s' % k.lower(), v, tags, depth + 1)
elif isinstance(dat, list):
self._publish_raw_metrics(metric, dat[-1], tags, depth + 1)
@staticmethod
def _shorten_name(name):
# shorten docker image id
return re.sub('([0-9a-fA-F]{64,})', lambda x: x.group(1)[0:12], name)
def _get_post_1_2_tags(self, cont_labels, subcontainer, kube_labels):
tags = []