Ceilometer: 14、aodh源码分析

aodh源码分析

1 介绍

aodh是从ceilometer拆分出来的告警组件,现在主要包括:
evaluator服务,notifier服务,listener服务。
evaluator服务主要用于每隔一定时间进行告警的校验,如果校验有告警产生,则与notifier服务通信,进行告警通知
notifier服务接收来自evaluator服务的通信,将触发的告警以日志,http请求等形式进行告警分发
listener服务可接收来自第三方的告警内容并进行存储


2 Aodh的evaluator服务

2.1 服务启动部分在: aodh/evaluator/__init__.py的AlarmEvaluationService类的start函数,具体如下:
    def start(self):
        super(AlarmEvaluationService, self).start()


        self.partition_coordinator.start()
        self.partition_coordinator.join_group(self.PARTITIONING_GROUP_NAME)


        # allow time for coordination if necessary
        delay_start = self.partition_coordinator.is_active()


        if self.evaluators:
            interval = self.conf.evaluation_interval
   # 以定时任务形式每隔一定时间调用_evaluate_assigned_alarms方法
            self.tg.add_timer(
                interval,
                self._evaluate_assigned_alarms,
                initial_delay=interval if delay_start else None)
        if self.partition_coordinator.is_active():
            heartbeat_interval = min(self.conf.coordination.heartbeat,
                                     self.conf.evaluation_interval / 4)
            self.tg.add_timer(heartbeat_interval,
                              self.partition_coordinator.heartbeat)
        # Add a dummy thread to have wait() working
        self.tg.add_timer(604800, lambda: None)


        # NOTE(r-mibu): The 'event' type alarms will be evaluated by the
        # event-driven alarm evaluator, so this periodical evaluator skips
        # those alarms.
        all_alarms = self._storage_conn.get_alarms(enabled=True,
                                                   exclude=dict(type='event'))
        all_alarms = list(all_alarms)
        all_alarm_ids = [a.alarm_id for a in all_alarms]
        selected = self.partition_coordinator.extract_my_subset(
            self.PARTITIONING_GROUP_NAME, all_alarm_ids)
        return list(filter(lambda a: a.alarm_id in selected, all_alarms))


分析:
以定时任务形式每隔一定时间调用_evaluate_assigned_alarms方法
            self.tg.add_timer(
                interval,
                self._evaluate_assigned_alarms,
                initial_delay=interval if delay_start else None)




2.2 _evaluate_assigned_alarms方法具体如下:
    def _evaluate_assigned_alarms(self):
        try:
            alarms = self._assigned_alarms()
            LOG.info(_('initiating evaluation cycle on %d alarms') %
                     len(alarms))
            for alarm in alarms:
                self._evaluate_alarm(alarm)
        except Exception:
            LOG.exception(_('alarm evaluation cycle failed'))


分析:
这个方法是从数据库中获取所有告警,然后遍历每个告警,对每个告警调用
_evaluate_alarm方法进行告警验证


2.3 _evaluate_alarm方法具体如下:
    def _evaluate_alarm(self, alarm):
        """Evaluate the alarms assigned to this evaluator."""
        if alarm.type not in self.evaluators:
            LOG.debug('skipping alarm %s: type unsupported', alarm.alarm_id)
            return


        LOG.debug('evaluating alarm %s', alarm.alarm_id)
        try:
            self.evaluators[alarm.type].obj.evaluate(alarm)
        except Exception:
            LOG.exception(_('Failed to evaluate alarm %s'), alarm.alarm_id)




分析: 
该方法是对当前待校验告警,获取其告警类型alarm.type,然后找到该告警类型对应的evaluator对象
【目前有: ThresholdEvaluator, GnocchiResourceThresholdEvaluator等】,调用该
evaluator对象的evaluate方法,最终会调用aodh/evaluator/threshold.py的
ThresholdEvaluator类的evaluate方法


2.4 aodh/evaluator/threshold.py中ThresholdEvaluator类的evaluate方法具体如下:
    def evaluate(self, alarm):
        if not self.within_time_constraint(alarm):
            LOG.debug('Attempted to evaluate alarm %s, but it is not '
                      'within its time constraint.', alarm.alarm_id)
            return


        state, trending_state, statistics, outside_count = self.evaluate_rule(
            alarm.rule, alarm_id=alarm.alarm_id)
        self._transition_alarm(alarm, state, trending_state, statistics,
                               outside_count)


分析:
上述方法调用evaluate_rule方法进行告警的验证; 具体就是根据
ceilometer监控数据源或者gnocchi监控数据源查询指定时间范围的监控项的监控数据
是否超过阈值,返回最终的告警状态
调用_transition_alarm方法来修改告警状态,并与notifier服务通信,进行告警触发; 
具体参见2.5分析


2.5 aodh/evaluator/threshold.py中ThresholdEvaluator类的_transition_alarm方法具体如下:
    def _transition_alarm(self, alarm, state, trending_state, statistics,
                          outside_count):
        unknown = alarm.state == evaluator.UNKNOWN
        continuous = alarm.repeat_actions


        if trending_state:
            if unknown or continuous:
                state = trending_state if unknown else alarm.state
                reason, reason_data = self._reason(alarm, statistics, state,
                                                   outside_count)
                self._refresh(alarm, state, reason, reason_data)
                return


        if state == evaluator.UNKNOWN and not unknown:
            LOG.warning(_LW('Expecting %(expected)d datapoints but only get '
                            '%(actual)d') % {
                'expected': alarm.rule['evaluation_periods'],
                'actual': len(statistics)})
            # Reason is not same as log message because we want to keep
            # consistent since thirdparty software may depend on old format.
            reason = _('%d datapoints are unknown') % alarm.rule[
                'evaluation_periods']
            last = None if not statistics else statistics[-1]
            reason_data = self._reason_data('unknown',
                                            alarm.rule['evaluation_periods'],
                                            last)
            self._refresh(alarm, state, reason, reason_data)


        elif state and (alarm.state != state or continuous):
            reason, reason_data = self._reason(alarm, statistics, state,
                                               outside_count)
            self._refresh(alarm, state, reason, reason_data)




分析:
最重要的逻辑在
        elif state and (alarm.state != state or continuous):
            reason, reason_data = self._reason(alarm, statistics, state,
                                               outside_count)
            self._refresh(alarm, state, reason, reason_data)


如果已经告警,并且和之前的状态不同或者设置了连续告警,就调用_refresh方法
来进行告警通知,具体见2.6


2.6 在aodh/evaluator/__init__.py的Evaluator类的_refresh方法如下:
    def _refresh(self, alarm, state, reason, reason_data, always_record=False):
        """Refresh alarm state."""
        try:
            previous = alarm.state
            alarm.state = state
            if previous != state or always_record:
                LOG.info(_('alarm %(id)s transitioning to %(state)s because '
                           '%(reason)s') % {'id': alarm.alarm_id,
                                            'state': state,
                                            'reason': reason})
                try:
                    self._storage_conn.update_alarm(alarm)
                except storage.AlarmNotFound:
                    LOG.warning(_LW("Skip updating this alarm's state, the"
                                    "alarm: %s has been deleted"),
                                alarm.alarm_id)
                else:
                    self._record_change(alarm)
                self.notifier.notify(alarm, previous, reason, reason_data)
            elif alarm.repeat_actions:
                self.notifier.notify(alarm, previous, reason, reason_data)
        except Exception:
            # retry will occur naturally on the next evaluation
            # cycle (unless alarm state reverts in the meantime)
            LOG.exception(_('alarm state update failed'))



分析:
这里通过self._storage_conn.update_alarm(alarm)来更新告警,
self._record_change(alarm)会记录告警历史
最重要的是
self.notifier.notify(alarm, previous, reason, reason_data)
会进行告警通知,原理是:让evaluator服务和notifier服务进行通信。
其中:self.notifier的定义如下
        if conf.ipc_protocol == 'rpc':
            self.notifier = rpc.RPCAlarmNotifier(self.conf)
        else:
            self.notifier = queue.AlarmNotifier(self.conf)


也就是说这里根据是否配置的是rpc通信或者消息队列通信方式来实例化
不同的Notifier对象, 并调用该对象的notify方法






3 Aodh的notifier服务

源码:aodh/notifier/__init__.py中的AlarmNotifierService类,代码如下
class AlarmNotifierService(os_service.Service):
    NOTIFIER_EXTENSIONS_NAMESPACE = "aodh.notifier"


    def __init__(self, conf):
        super(AlarmNotifierService, self).__init__()
        transport = messaging.get_transport(conf)


        self.notifiers = extension.ExtensionManager(
            self.NOTIFIER_EXTENSIONS_NAMESPACE,
            invoke_on_load=True,
            invoke_args=(conf,))


        if conf.ipc_protocol == 'rpc':
            self.ipc = 'rpc'
            self.rpc_server = messaging.get_rpc_server(
                conf, transport, conf.notifier_rpc_topic, self)
        else:
            self.ipc = 'queue'
            target = oslo_messaging.Target(topic=conf.notifier_topic)
            self.listener = messaging.get_notification_listener(
                transport, [target],
                [AlarmEndpoint(self.notifiers)])


    def start(self):
        super(AlarmNotifierService, self).start()
        if self.ipc == 'rpc':
            self.rpc_server.start()
        else:
            self.listener.start()
        # Add a dummy thread to have wait() working
        self.tg.add_timer(604800, lambda: None)


    def stop(self):
        if self.ipc == 'rpc':
            self.rpc_server.stop()
        else:
            self.listener.stop()
            self.listener.wait()
        super(AlarmNotifierService, self).stop()


    def notify_alarm(self, context, data):
        process_alarm(self.notifiers, data)



分析:
1) __init__中
self.notifiers 部分是不同的通知对象的列表,然后根据self.ipc来区分是使用rpc或者消息队列的
方式进行aodh的evaluator和notifier服务之间的通信方式,根据aodh.conf中如下值
# The protocol used to communicate between evaluator and notifier services.
# (string value)
# Allowed values: queue, rpc
#ipc_protocol = queue
默认aodh采用消息队列的方式进行evaluator和notifier进行通信
2) 如果使用rpc方式进行evaluator和notifier通信,则从aodh/messaging.py中调用get_rpc_server方法
来获取rpc server,具体代码如下
def get_rpc_server(conf, transport, topic, endpoint):
    """Return a configured oslo_messaging rpc server."""
    target = oslo_messaging.Target(server=conf.host, topic=topic)
    return oslo_messaging.get_rpc_server(transport, target,
                                         [endpoint], executor='threading',
                                         serializer=_SERIALIZER)


其中传入的topic值为conf.notifier_rpc_topic,具体在aodh.conf中值如下:
#notifier_rpc_topic = alarm_notifier
其中传入的endpoint是self,即AlarmNotifierService类本身,然后根据:
如果触发告警,那么aodh/evaluator/__init__.py中Evaluator类中的
_refresh方法调用了
self.notifier.notify(alarm, previous, reason, reason_data)
其中:self.notifier的定义如下
        if conf.ipc_protocol == 'rpc':
            self.notifier = rpc.RPCAlarmNotifier(self.conf)
        else:
            self.notifier = queue.AlarmNotifier(self.conf)


也就是说这里根据是否配置的是rpc通信或者消息队列通信方式来实例化
不同的Notifier对象, 并调用该对象的notify方法,
总结:
以rpc通信方式为例,被调用的aodh/rpc.py中RPCAlarmNotifier类的分析具体见4
以消息队列通信方式为例,被调用的aodh/queue.py中的AlarmNotifier类的分析具体见5




4 evaluator和notifier之间的rpc通信方式

如果采用rpc通信方式, evaluator服务调用了aodh/evaluator/__init__.py中Evaluator类中的_refresh方法,该方法调用了aodh/rpc.py中的RPCAlarmNotifier类的notify方法。
源码: aodh/rpc.py中RPCAlarmNotifier类
class RPCAlarmNotifier(object):
    def __init__(self, conf):
        transport = messaging.get_transport(conf)
        self.client = messaging.get_rpc_client(
            transport, topic=conf.notifier_rpc_topic,
            version="1.0")


    def notify(self, alarm, previous, reason, reason_data):
        actions = getattr(alarm, models.Alarm.ALARM_ACTIONS_MAP[alarm.state])
        if not actions:
            LOG.debug('alarm %(alarm_id)s has no action configured '
                      'for state transition from %(previous)s to '
                      'state %(state)s, skipping the notification.',
                      {'alarm_id': alarm.alarm_id,
                       'previous': previous,
                       'state': alarm.state})
            return
        self.client.cast({},
                         'notify_alarm', data={
                             'actions': actions,
                             'alarm_id': alarm.alarm_id,
                             'alarm_name': alarm.name,
                             'severity': alarm.severity,
                             'previous': previous,
                             'current': alarm.state,
                             'reason': six.text_type(reason),
                             'reason_data': reason_data,
                             'alarm_rule': alarm.rule})


分析:
1) __init__方法指定了rpc的topic为conf.notifier_rpc_topic,具体在aodh.conf中值如下
#notifier_rpc_topic = alarm_notifier


2)notify方法指定了调用rpc server中的notify_alarm方法,
而rpc server是aodh/notifier/__init__.py中的AlarmNotifierService类
该类中包含了
    def notify_alarm(self, context, data):
        process_alarm(self.notifiers, data)



总结: 这里关于evaluator和notifier之间rpc通信方式中,步骤1: evaluator服务调用了aodh/evaluator/__init__.py中Evaluator类中的_refresh方法,该方法调用了aodh/rpc.py中RPCAlarmNotifier类的notify方法步骤2:rpc client实际是:  aodh/rpc.py中RPCAlarmNotifier类入口是: 该类的notify方法,它指定了调用rpc server中的notify_alarm方法步骤3:rpc server实际是: aodh/notifier/__init__.py中的AlarmNotifierService类,该类定义了notify_alarm方法来被rpc client进行调用

5 evaluator和notifier之间的消息队列通信方式

如果采用消息队列通信方式, evaluator服务调用了aodh/evaluator/__init__.py中Evaluator类中的_refresh方法,该方法调用了aodh/queue.py中的AlarmNotifier类的notify方法。aodh/queue.py中的AlarmNotifier类具体如下:
class AlarmNotifier(object):
    def __init__(self, conf):
        self.notifier = oslo_messaging.Notifier(
            messaging.get_transport(conf),
            driver='messagingv2',
            publisher_id="alarming.evaluator",
            topic=conf.notifier_topic)


    def notify(self, alarm, previous, reason, reason_data):
        actions = getattr(alarm, models.Alarm.ALARM_ACTIONS_MAP[alarm.state])
        if not actions:
            LOG.debug('alarm %(alarm_id)s has no action configured '
                      'for state transition from %(previous)s to '
                      'state %(state)s, skipping the notification.',
                      {'alarm_id': alarm.alarm_id,
                       'previous': previous,
                       'state': alarm.state})
            return
        payload = {'actions': actions,
                   'alarm_id': alarm.alarm_id,
                   'alarm_name': alarm.name,
                   'severity': alarm.severity,
                   'previous': previous,
                   'current': alarm.state,
                   'reason': six.text_type(reason),
                   'reason_data': reason_data,
                   'alarm_rule': alarm.rule}
        self.notifier.sample({}, 'alarm.update', payload)




分析:
1) 上述__init__方法中初始化了一个oslo_messaging的Notifier对象,
用于进行消息队列通信,其中topic=conf.notifier_topic,在aodh.conf
中其值如下:
#notifier_topic = alarming


2) 上述notify方法调用了
self.notifier.sample({}, 'alarm.update', payload)
来发送数据,该方法具体形式如下:
def sample(ctxt, event_type, payload):
参数:
ctxt: 请求的上下文字典,可以设置为空,字典类型
event_type:发送的事件类型,例如: alarm.update,字符串类型
payload:通知的具体内容,是一个字典,字典中键值对:键表示属性名称,值表示属性对应的值


3)
因为该aodh/queue.py中的AlarmNotifier类是消息队列的客户端,即消息发送方,
消息接收方是aodh/notifier/__init__.py的AlarmNotifierService类中
__init__方法中定义的self.listener
            target = oslo_messaging.Target(topic=conf.notifier_topic)
            self.listener = messaging.get_notification_listener(
                transport, [target],
                [AlarmEndpoint(self.notifiers)])


上述AlarmEndpoint即为通知告警的真正处理类,该类在aodh/notifier/__init__.py
文件中,具体内容如下:
class AlarmEndpoint(object):


    def __init__(self, notifiers):
        self.notifiers = notifiers


    def sample(self, ctxt, publisher_id, event_type, payload, metadata):
        """Endpoint for alarm notifications"""
        process_alarm(self.notifiers, payload)


其中sample方法即为被消息队列客户端所调用的真正方法


总结: 这里关于evaluator和notifier之间消息队列通信方式中,
步骤1: evaluator服务调用了aodh/evaluator/__init__.py中Evaluator类中的
_refresh方法,调用了aodh/queue.py中的AlarmNotifier类的notify方法
步骤2:
消息队列 client端实际是:  aodh/queue.py中AlarmNotifier类
入口是: 该类的notify方法,它指定了调用rpc server中的
notify_alarm方法
步骤3:
消息队列 server端实际是: aodh/notifier/__init__.py中的AlarmNotifierService类,该类的__init__方法中指定了处理告警的类是
aodh/notifier/__init__.py中的AlarmEndpoint,该AlarmEndpoint
类的sample方法会被调用




最后告警通知的处理可以进行log,或者http请求等进行告警的处理。




6 总结rpc和消息队列通信方式

6.1 rpc通信方式
client端部分:
1 初始化client端:
        transport = messaging.get_transport(conf)
        self.client = messaging.get_rpc_client(
            transport, topic=conf.notifier_rpc_topic,
            version="1.0")


2 通过client端调用服务端方法:

        self.client.cast({},
                         'notify_alarm', data={
                             'actions': actions,
                             'alarm_id': alarm.alarm_id,
                             'alarm_name': alarm.name,
                             'severity': alarm.severity,
                             'previous': previous,
                             'current': alarm.state,
                             'reason': six.text_type(reason),
                             'reason_data': reason_data,
                             'alarm_rule': alarm.rule})



server端部分:
1 初始化server端
            self.rpc_server = messaging.get_rpc_server(
                conf, transport, conf.notifier_rpc_topic, self)


2 启动server端:
            self.rpc_server.start()


3 server端的处理方法:
    def notify_alarm(self, context, data):
        process_alarm(self.notifiers, data)




6.2 消息队列通信方式
client端部分:
1 初始化client端:
        self.notifier = oslo_messaging.Notifier(
            messaging.get_transport(conf),
            driver='messagingv2',
            publisher_id="alarming.evaluator",
            topic=conf.notifier_topic)


2 发送消息:
        self.notifier.sample({}, 'alarm.update', payload)




server端部分:
1 初始化server端:
            target = oslo_messaging.Target(topic=conf.notifier_topic)
            self.listener = messaging.get_notification_listener(
                transport, [target],
                [AlarmEndpoint(self.notifiers)])


2 启动server端:
            self.listener.start()


3 server端处理方法
    def sample(self, ctxt, publisher_id, event_type, payload, metadata):
        """Endpoint for alarm notifications"""
        process_alarm(self.notifiers, payload)




6.3 rpc和消息队列通信方式的相同点
client端初始化部分:
rpc client端需要: transport, topic, version
消息队列 client端需要: transport, topic, driver, publisher_id


rpc server端需要: transport, topic, 处理方法类对象列表
消息队列 server端需要: transport, target列表(每个target用topic初始化), 处理类对象列表


总结:
client端: rpc和消息队列都需要用到transport和topic
server端: rpc和消息队列都需要提供transport和处理类对象列表


7 总结aodh

aodh组件通过不同的数据源进行告警的校验,然后又采用了rabbitmq消息队列的方式
进行了告警验证服务和告警通知服务之间的通信,最后将告警的结果以不同的形式进行

分发处理。

参考:

[1] https://github.com/openstack/aodh/tree/mitaka-eol

猜你喜欢

转载自blog.csdn.net/qingyuanluofeng/article/details/80823150
今日推荐