def __init__(self, threads=1000):
super(NotificationEngine, self).__init__(threads)
self._kafka_conn = kafka_conn.KafkaConnection(
cfg.CONF.notificationengine.topic)
self.doc_type = cfg.CONF.notificationengine.doc_type
# load index strategy
if cfg.CONF.notificationengine.index_strategy:
self.index_strategy = driver.DriverManager(
namespace.STRATEGY_NS,
cfg.CONF.notificationengine.index_strategy,
invoke_on_load=True,
invoke_kwds={}).driver
LOG.debug(dir(self.index_strategy))
else:
self.index_strategy = None
self.index_prefix = cfg.CONF.notificationengine.index_prefix
self._es_conn = es_conn.ESConnection(
self.doc_type, self.index_strategy, self.index_prefix)
if cfg.CONF.notificationengine.processor:
self.notification_processor = driver.DriverManager(
namespace.PROCESSOR_NS,
cfg.CONF.notificationengine.processor,
invoke_on_load=True,
invoke_kwds={}).driver
LOG.debug(dir(self.notification_processor))
else:
self.notification_processor = None
def __init__(self, t_name, tp):
threading.Thread.__init__(self, name=t_name)
self.doc_type = cfg.CONF.alarmdefinitions.doc_type
self.size = cfg.CONF.alarmdefinitions.size
# load index strategy
if cfg.CONF.alarmdefinitions.index_strategy:
self.index_strategy = driver.DriverManager(
namespace.STRATEGY_NS,
cfg.CONF.alarmdefinitions.index_strategy,
invoke_on_load=True,
invoke_kwds={}).driver
LOG.debug(self.index_strategy)
else:
self.index_strategy = None
self.index_prefix = cfg.CONF.alarmdefinitions.index_prefix
self._es_conn = es_conn.ESConnection(
self.doc_type, self.index_strategy, self.index_prefix)
# get the dict where all processors are indexed
self.threshold_processors = tp
# get the time interval to query es
self.interval = cfg.CONF.alarmdefinitions.check_alarm_def_interval
# set the flag, which is used to determine if a processor is expired
# each processor will has its flag, if same with self.flag, it's valid
self.flag = 0
# setup query params
self.params = self._build_alarm_definitions_query(
cfg.CONF.alarmdefinitions.name,
cfg.CONF.alarmdefinitions.dimensions)
def test_send_messages_with_id(self):
self.CONF.set_override('id_field', 'id', group='es_conn')
self.CONF.set_override('uri', 'http://fake', group='es_conn')
self.CONF.set_override('time_unit', 'h', group='timed_strategy')
strategy = timed_strategy.TimedStrategy()
conn = es_conn.ESConnection('alarms', strategy, 'pre_')
req_result = mock.Mock()
req_result.status_code = 204
msg = {'id': 'whatever'}
with mock.patch.object(requests, 'post', return_value=req_result):
conn.send_messages(json.dumps(msg))
self.assertTrue(requests.post.called)
def __init__(self, global_conf):
LOG.debug('Initializing Alarm V2API!')
super(AlarmDispatcher, self).__init__()
self.doc_type = cfg.CONF.alarms.doc_type
self.index_prefix = cfg.CONF.alarms.index_prefix
self.size = cfg.CONF.alarms.size
# load index strategy
if cfg.CONF.alarms.index_strategy:
self.index_strategy = driver.DriverManager(
namespace.STRATEGY_NS,
cfg.CONF.alarms.index_strategy,
invoke_on_load=True,
invoke_kwds={}).driver
LOG.debug(self.index_strategy)
else:
self.index_strategy = None
self._es_conn = es_conn.ESConnection(self.doc_type,
self.index_strategy,
self.index_prefix)
def __init__(self, global_conf):
LOG.debug('initializing V2API in NotificationMethodDispatcher!')
super(NotificationMethodDispatcher, self).__init__()
self.doc_type = cfg.CONF.notificationmethods.doc_type
self.size = cfg.CONF.notificationmethods.size
# load index strategy
if cfg.CONF.notificationmethods.index_strategy:
self.index_strategy = driver.DriverManager(
namespace.STRATEGY_NS,
cfg.CONF.notificationmethods.index_strategy,
invoke_on_load=True,
invoke_kwds={}).driver
LOG.debug(dir(self.index_strategy))
else:
self.index_strategy = None
self.index_prefix = cfg.CONF.notificationmethods.index_prefix
self._es_conn = es_conn.ESConnection(self.doc_type,
self.index_strategy,
self.index_prefix)
def __init__(self, threads=1000):
super(ESPersister, self).__init__(threads)
self._kafka_conn = kafka_conn.KafkaConnection(
cfg.CONF.es_persister.topic)
# load index strategy
if cfg.CONF.es_persister.index_strategy:
self.index_strategy = driver.DriverManager(
namespace.STRATEGY_NS,
cfg.CONF.es_persister.index_strategy,
invoke_on_load=True,
invoke_kwds={}).driver
LOG.debug(dir(self.index_strategy))
else:
self.index_strategy = None
self.index_prefix = cfg.CONF.es_persister.index_prefix
# Use doc_type if it is defined.
if cfg.CONF.es_persister.doc_type:
self.doc_type = cfg.CONF.es_persister.doc_type
else:
self.doc_type = cfg.CONF.es_persister.topic
# create connection to ElasticSearch
self._es_conn = es_conn.ESConnection(
self.doc_type, self.index_strategy, self.index_prefix)
# load message processor
if cfg.CONF.es_persister.processor:
self.msg_processor = driver.DriverManager(
namespace.PROCESSOR_NS,
cfg.CONF.es_persister.processor,
invoke_on_load=True,
invoke_kwds={}).driver
LOG.debug(dir(self.msg_processor))
else:
self.msg_processor = None
def __init__(self, global_conf):
LOG.debug('initializing V2API!')
super(MetricDispatcher, self).__init__()
self.topic = cfg.CONF.metrics.topic
self.doc_type = cfg.CONF.metrics.doc_type
self.size = cfg.CONF.metrics.size
self._kafka_conn = kafka_conn.KafkaConnection(self.topic)
# load index strategy
if cfg.CONF.metrics.index_strategy:
self.index_strategy = driver.DriverManager(
namespace.STRATEGY_NS,
cfg.CONF.metrics.index_strategy,
invoke_on_load=True,
invoke_kwds={}).driver
LOG.debug(dir(self.index_strategy))
else:
self.index_strategy = None
self.index_prefix = cfg.CONF.metrics.index_prefix
self._es_conn = es_conn.ESConnection(
self.doc_type, self.index_strategy, self.index_prefix)
# Setup the get metrics query body pattern
self._query_body = {
"query": {"bool": {"must": []}},
"size": self.size}
self._aggs_body = {}
self._stats_body = {}
self._sort_clause = []
# Setup the get metrics query url, the url should be similar to this:
# http://host:port/data_20141201/metrics/_search
# the url should be made of es_conn uri, the index prefix, metrics
# dispatcher topic, then add the key word _search.
self._query_url = ''.join([self._es_conn.uri,
self._es_conn.index_prefix, '*/',
cfg.CONF.metrics.topic,
'/_search?search_type=count'])
# the url to get all the properties of metrics
self._query_mapping_url = ''.join([self._es_conn.uri,
self._es_conn.index_prefix,
'*/_mappings/',
cfg.CONF.metrics.topic])
# Setup metrics query aggregation command. To see the structure of
# the aggregation, copy and paste it to a json formatter.
self._metrics_agg = """
{"by_name":{"terms":{"field":"name","size":%(size)d},
"aggs":{"by_dim":{"terms":{"field":"dimensions_hash","size":%(size)d},
"aggs":{"metrics":{"top_hits":{"_source":{"exclude":
["dimensions_hash","timestamp","value"]},"size":1}}}}}}}
"""
self._measure_agg = """
{"by_name":{"terms":{"field":"name","size":%(size)d},
"aggs":{"by_dim":{"terms":{"field":"dimensions_hash",
"size": %(size)d},"aggs":{"dimension":{"top_hits":{
"_source":{"exclude":["dimensions_hash","timestamp",
"value"]},"size":1}},"measures": {"top_hits":{
"_source": {"include": ["timestamp", "value"]},
"sort": [{"timestamp": "asc"}],"size": %(size)d}}}}}}}
"""
self._stats_agg = """