287 lines
11 KiB
Python
Executable File
287 lines
11 KiB
Python
Executable File
# Copyright 2013 IBM Corp
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import datetime
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import falcon
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from oslo_config import cfg
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from oslo_log import log
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import requests
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from stevedore import driver
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from kiloeyes.common import es_conn
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from kiloeyes.common import kafka_conn
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from kiloeyes.common import namespace
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from kiloeyes.common import resource_api
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from kiloeyes.v2.elasticsearch import metrics
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try:
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import ujson as json
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except ImportError:
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import json
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METERS_OPTS = [
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cfg.StrOpt('topic', default='metrics',
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help='The topic that meters will be published to.'),
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cfg.StrOpt('doc_type', default='metrics',
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help='The doc type that meters will be saved into.'),
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cfg.StrOpt('index_strategy', default='fixed',
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help='The index strategy used to create index name.'),
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cfg.StrOpt('index_prefix', default='data_',
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help='The index prefix where meters were saved to.'),
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cfg.StrOpt('index_template', default='/etc/kiloeyes/metrics.template',
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help='The index template which meters index should use.'),
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cfg.IntOpt('size', default=10000,
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help=('The query result limit. Any result set more than '
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'the limit will be discarded. To see all the matching '
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'result, narrow your search by using a small time '
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'window or strong matching name')),
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]
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cfg.CONF.register_opts(METERS_OPTS, group="meters")
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LOG = log.getLogger(__name__)
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UPDATED = str(datetime.datetime(2014, 1, 1, 0, 0, 0))
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class MeterDispatcher(object):
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def __init__(self, global_conf):
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LOG.debug('initializing V2API!')
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super(MeterDispatcher, self).__init__()
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self.topic = cfg.CONF.meters.topic
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self.doc_type = cfg.CONF.meters.doc_type
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self.index_template = cfg.CONF.meters.index_template
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self.size = cfg.CONF.meters.size
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self._kafka_conn = kafka_conn.KafkaConnection(self.topic)
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# load index strategy
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if cfg.CONF.meters.index_strategy:
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self.index_strategy = driver.DriverManager(
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namespace.STRATEGY_NS,
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cfg.CONF.meters.index_strategy,
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invoke_on_load=True,
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invoke_kwds={}).driver
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LOG.debug(dir(self.index_strategy))
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else:
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self.index_strategy = None
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self.index_prefix = cfg.CONF.meters.index_prefix
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self._es_conn = es_conn.ESConnection(
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self.doc_type, self.index_strategy, self.index_prefix)
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# Setup the get meters query body pattern
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self._query_body = {
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"query": {"bool": {"must": []}},
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"size": self.size}
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self._aggs_body = {}
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self._stats_body = {}
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self._sort_clause = []
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# Setup the get meters query url, the url should be similar to this:
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# http://host:port/data_20141201/meters/_search
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# the url should be made of es_conn uri, the index prefix, meters
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# dispatcher topic, then add the key word _search.
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self._query_url = ''.join([self._es_conn.uri,
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self._es_conn.index_prefix, '*/',
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cfg.CONF.meters.topic,
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'/_search?search_type=count'])
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# Setup meters query aggregation command. To see the structure of
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# the aggregation, copy and paste it to a json formatter.
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self._meters_agg = """
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{"by_name":{"terms":{"field":"name","size":%(size)d},
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"aggs":{"by_dim":{"terms":{"field":"dimensions_hash","size":%(size)d},
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"aggs":{"meters":{"top_hits":{"_source":{"exclude":
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["dimensions_hash","timestamp","value"]},"size":1}}}}}}}
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"""
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self._oldsample_agg = """
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{"by_name":{"terms":{"field":"name","size":%(size)d},
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"aggs":{"by_dim":{"terms":{"field":"dimensions_hash","size":%(size)d},
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"aggs":{"meters":{"top_hits":{"_source":{"exclude":
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["dimensions_hash"]},"size":1}}}}}}}
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"""
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self.setup_index_template()
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def setup_index_template(self):
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status = '400'
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with open(self.index_template) as template_file:
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template_path = ''.join([self._es_conn.uri,
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'/_template/metrics'])
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es_res = requests.put(template_path, data=template_file.read())
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status = getattr(falcon, 'HTTP_%s' % es_res.status_code)
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if status == '400':
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LOG.error('Metrics template can not be created. Status code %s'
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% status)
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exit(1)
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else:
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LOG.debug('Index template set successfully! Status %s' % status)
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def post_data(self, req, res):
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msg = ""
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LOG.debug('Getting the call.')
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msg = req.stream.read()
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LOG.debug('@$Post Message is %s' % msg)
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code = self._kafka_conn.send_messages(msg)
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res.status = getattr(falcon, 'HTTP_' + str(code))
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def _get_agg_response(self, res):
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if res and res.status_code == 200:
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obj = res.json()
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if obj:
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return obj.get('aggregations')
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return None
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else:
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return None
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@resource_api.Restify('/v2.0/meters', method='get')
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def get_meters(self, req, res):
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LOG.debug('The meters GET request is received')
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# process query condition
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query = []
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metrics.ParamUtil.common(req, query)
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_meters_ag = self._meters_agg % {"size": self.size}
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if query:
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body = ('{"query":{"bool":{"must":' + json.dumps(query) + '}},'
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'"size":' + str(self.size) + ','
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'"aggs":' + _meters_ag + '}')
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else:
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body = '{"aggs":' + _meters_ag + '}'
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LOG.debug('Request body:' + body)
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LOG.debug('Request url:' + self._query_url)
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es_res = requests.post(self._query_url, data=body)
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res.status = getattr(falcon, 'HTTP_%s' % es_res.status_code)
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LOG.debug('Query to ElasticSearch returned: %s' % es_res.status_code)
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res_data = self._get_agg_response(es_res)
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if res_data:
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# convert the response into ceilometer meter format
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aggs = res_data['by_name']['buckets']
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flag = {'is_first': True}
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def _render_hits(item):
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_id = item['meters']['hits']['hits'][0]['_id']
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_type = item['meters']['hits']['hits'][0]['_type']
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_source = item['meters']['hits']['hits'][0]['_source']
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rslt = ('{"meter_id":' + json.dumps(_id) + ','
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'"name":' + json.dumps(_source['name']) + ','
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'"project_id":' +
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json.dumps(_source['project_id']) + ','
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'"resource_id":' +
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json.dumps(_source['tenant_id']) + ','
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'"source":' + json.dumps(_source['user_agent']) + ','
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'"type":' + json.dumps(_type) + ','
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'"unit":null,'
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'"user_id":' + json.dumps(_source['user_id']) + '}')
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if flag['is_first']:
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flag['is_first'] = False
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return rslt
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else:
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return ',' + rslt
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def _make_body(buckets):
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yield '['
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for by_name in buckets:
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if by_name['by_dim']:
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for by_dim in by_name['by_dim']['buckets']:
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yield _render_hits(by_dim)
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yield ']'
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res.body = ''.join(_make_body(aggs))
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res.content_type = 'application/json;charset=utf-8'
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else:
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res.body = ''
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@resource_api.Restify('/v2.0/meters', method='post')
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def post_meters(self, req, res):
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self.post_data(req, res)
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@resource_api.Restify('/v2.0/meters/{meter_name}', method='get')
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def get_meter_byname(self, req, res, meter_name):
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LOG.debug('The meter %s sample GET request is received' % meter_name)
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# process query condition
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query = []
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metrics.ParamUtil.common(req, query)
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_meter_ag = self._oldsample_agg % {"size": self.size}
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if query:
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body = ('{"query":{"bool":{"must":' + json.dumps(query) + '}},'
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'"size":' + str(self.size) + ','
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'"aggs":' + _meter_ag + '}')
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else:
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body = '{"aggs":' + _meter_ag + '}'
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# modify the query url to filter out name
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query_url = []
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if meter_name:
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query_url = self._query_url + '&q=name:' + meter_name
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else:
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query_url = self._query_url
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LOG.debug('Request body:' + body)
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LOG.debug('Request url:' + query_url)
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es_res = requests.post(query_url, data=body)
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res.status = getattr(falcon, 'HTTP_%s' % es_res.status_code)
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LOG.debug('Query to ElasticSearch returned: %s' % es_res.status_code)
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res_data = self._get_agg_response(es_res)
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LOG.debug('@$Result data is %s\n' % res_data)
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if res_data:
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# convert the response into ceilometer meter OldSample format
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aggs = res_data['by_name']['buckets']
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flag = {'is_first': True}
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def _render_hits(item):
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_type = item['meters']['hits']['hits'][0]['_type']
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_source = item['meters']['hits']['hits'][0]['_source']
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rslt = ('{"counter_name":' + json.dumps(_source['name']) + ','
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'"counter_type":' + json.dumps(_type) + ','
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'"counter_unit":null,'
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'"counter_volume":' +
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json.dumps(_source['value']) + ','
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'"message_id":null,'
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'"project_id":' +
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json.dumps(_source['project_id']) + ','
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'"recorded_at":null,'
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'"resource_id":' +
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json.dumps(_source['tenant_id']) + ','
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'"resource_metadata":null,'
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'"source":' + json.dumps(_source['user_agent']) + ','
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'"timestamp":' + json.dumps(_source['timestamp']) + ','
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'"user_id":' + json.dumps(_source['user_id']) + '}')
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if flag['is_first']:
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flag['is_first'] = False
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return rslt
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else:
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return ',' + rslt
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def _make_body(buckets):
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yield '['
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for by_name in buckets:
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if by_name['by_dim']:
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for by_dim in by_name['by_dim']['buckets']:
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yield _render_hits(by_dim)
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yield ']'
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res.body = ''.join(_make_body(aggs))
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res.content_type = 'application/json;charset=utf-8'
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else:
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res.body = ''
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