315 lines
13 KiB
Python
315 lines
13 KiB
Python
# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from collections import deque
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import datetime
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import json
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import logging
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import os
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import re
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import sys
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import time
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import uuid
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import elasticsearch
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from elasticsearch import helpers
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browbeat_uuid = uuid.uuid4()
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class Elastic(object):
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def __init__(self, config, workload, tool="browbeat", cache_size=1000, max_cache_time=10):
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self.config = config
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self.cache = deque()
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self.max_cache_size = cache_size
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self.last_upload = datetime.datetime.utcnow()
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self.max_cache_age = datetime.timedelta(minutes=max_cache_time)
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self.logger = logging.getLogger('browbeat.elastic')
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self.es = elasticsearch.Elasticsearch([
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{'host': self.config['elasticsearch']['host'],
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'port': self.config['elasticsearch']['port']}],
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send_get_body_as='POST'
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)
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self.workload = workload
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today = datetime.datetime.today()
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self.index = "{}-{}-{}".format(tool,
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workload, today.strftime('%Y.%m.%d'))
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def __del__(self):
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self.flush_cache()
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def load_json(self, result):
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json_data = None
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self.logger.info("Loading JSON")
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json_data = json.loads(result)
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return json_data
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def load_json_file(self, result):
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json_data = None
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self.logger.info("Loading JSON file : {}".format(result))
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try:
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with open(result) as jdata:
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json_data = json.load(jdata)
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except (IOError, OSError):
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self.logger.error("Error loading JSON file : {}".format(result))
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return False
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return json_data
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def combine_metadata(self, result):
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if (self.config['elasticsearch']['metadata_files'] is not None and
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len(self.config['elasticsearch']['metadata_files']) > 0):
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meta = self.config['elasticsearch']['metadata_files']
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for _meta in meta:
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try:
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with open(_meta['file']) as jdata:
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result[_meta['name']] = json.load(jdata)
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except Exception:
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self.logger.error(
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"Error loading Metadata file : {}".format(
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_meta['file']))
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self.logger.error(
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"Please make sure the metadata file exists and"
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" is valid JSON or run the playbook ansible/gather/site.yml"
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" before running the Browbeat test Suite")
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sys.exit(1)
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return result
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# Used to transform the cache dict into an elastic insertable iterable
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def cache_insertable_iterable(self):
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output = deque()
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for item in self.cache:
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es_item = {}
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es_item['_id'] = item['_id']
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es_item['_source'] = item['result']
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es_item['_type'] = item['_type']
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es_item['_index'] = self.index
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output.append(es_item)
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return output
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def flush_cache(self):
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if len(self.cache) == 0:
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return True
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retry = 2
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for i in range(retry):
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try:
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to_upload = helpers.parallel_bulk(self.es,
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self.cache_insertable_iterable())
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counter = 0
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num_items = len(self.cache)
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for item in to_upload:
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self.logger.debug("{} of {} Elastic objects uploaded".format(num_items,
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counter))
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counter = counter + 1
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output = "Pushed {} items to Elasticsearch to index {}".format(num_items,
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self.index)
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output += " and browbeat UUID {}".format(str(browbeat_uuid))
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self.logger.info(output)
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self.cache = deque()
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self.last_upload = datetime.datetime.utcnow()
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return True
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except Exception as Err:
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self.logger.error(
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"Error pushing data to Elasticsearch, going to retry"
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" in 10 seconds")
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self.logger.error("Exception: {}".format(Err))
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time.sleep(10)
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if i == (retry - 1):
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self.logger.error("Pushing Data to Elasticsearch failed in spite of retry,"
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" dumping JSON for {} cached items".format(len(self.cache)))
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for item in self.cache:
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filename = item['test_name'] + '-' + item['identifier']
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filename += '-elastic' + '.' + 'json'
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elastic_file = os.path.join(item['result_dir'],
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filename)
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with open(elastic_file, 'w') as result_file:
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json.dump(item['result'],
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result_file,
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indent=4,
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sort_keys=True)
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self.logger.info("Saved Elasticsearch consumable result JSON to {}".
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format(elastic_file))
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self.cache = deque()
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self.last_upload = datetime.datetime.utcnow()
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return False
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def get_software_metadata(self, index, role, browbeat_uuid):
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nodes = {}
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results = self.query_uuid(index, browbeat_uuid)
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pattern = re.compile(".*{}.*".format(role))
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if results:
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for result in results:
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for metadata in result['_source']['software-metadata']:
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for service in metadata:
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if pattern.match(metadata[service]['node_name']):
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if metadata[service]['node_name'] not in nodes:
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nodes[metadata[service][
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'node_name']] = metadata
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return nodes
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else:
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self.logger.error("UUID {} wasn't found".format(browbeat_uuid))
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return False
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def get_version_metadata(self, index, browbeat_uuid):
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version = {}
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results = self.query_uuid(index, browbeat_uuid)
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if results:
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for result in results:
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version = result['_source']['version']
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return version
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else:
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self.logger.error("UUID {} wasn't found".format(browbeat_uuid))
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"""
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Currently this function will only compare two uuids. I (rook) am not convinced it is worth
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the effort to engineer anything > 2.
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"""
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def compare_metadata(self, index, role, uuids):
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meta = []
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for browbeat_uuid in uuids:
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self.logger.info(
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"Querying Elastic : index [{}] : role [{}] : browbeat_uuid [{}] ".format(
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index, role, browbeat_uuid))
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software_metadata = self.get_software_metadata(
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index, role, browbeat_uuid)
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if software_metadata:
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meta.append(software_metadata)
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else:
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return False
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version_metadata = self.get_version_metadata(index, browbeat_uuid)
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if version_metadata:
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self.logger.info(
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"\nUUID: {}\nVersion: {}\nBuild: {}".format(
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browbeat_uuid,
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version_metadata['osp_series'],
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version_metadata['build']))
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ignore = [
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"connection",
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"admin_url",
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"bind_host",
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"rabbit_hosts",
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"auth_url",
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"public_bind_host",
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"host",
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"key",
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"url",
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"auth_uri",
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"www_authenticate_uri",
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"coordination_url",
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"swift_authurl",
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"admin_token",
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"memcached_servers",
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"api_servers",
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"osapi_volume_listen",
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"nova_url",
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"coordination_url",
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"memcache_servers",
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"novncproxy_host",
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"backend_url",
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"novncproxy_base_url",
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"metadata_listen",
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"osapi_compute_listen",
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"admin_bind_host",
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"glance_api_servers",
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"iscsi_ip_address",
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"registry_host",
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"auth_address",
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"swift_key",
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"auth_encryption_key",
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"metadata_proxy_shared_secret",
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"telemetry_secret",
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"heat_metadata_server_url",
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"heat_waitcondition_server_url",
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"transport_url"]
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if len(meta) < 2:
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self.logger.error("Unable to compare data-sets")
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return False
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for host in meta[0]:
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if host not in meta[1]:
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self.logger.error("Deployment differs: "
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"Host [{}] missing ".format(host))
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continue
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for service in meta[0][host]:
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for options in meta[0][host][service].keys():
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if options not in meta[1][host][service]:
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self.logger.error(
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"UUID {} "
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"- Missing Option : "
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"Host [{}] Service [{}] {}".format(
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uuids[1], host, service, options))
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continue
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if isinstance(meta[0][host][service][options], dict):
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for key in meta[0][host][service][options].keys():
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if key not in ignore:
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if key in meta[1][host][service][options]:
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value = meta[0][host][
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service][options][key]
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new_value = meta[1][host][
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service][options][key]
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if value != new_value:
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self.logger.info(
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"Difference found : "
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"Host [{}] Service [{}] Section {} {} [{}]\n"
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"New Value: {}\nOld Value: {}".format(
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host,
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service,
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options,
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key,
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meta[0][host][service][
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options][key],
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value,
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new_value))
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else:
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self.logger.error(
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"UUID {} - Missing Value : "
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"Host [{}] Service [{}] {} [{}]".format(
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uuids[1], host, service, options, key))
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def query_uuid(self, index, browbeat_uuid):
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body = {'query': {"match": {"browbeat_uuid": {
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"query": browbeat_uuid, "type": "phrase"}}}}
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results = self.es.search(index=index, doc_type='result', body=body)
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if len(results['hits']['hits']) > 0:
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return results['hits']['hits']
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else:
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return False
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def index_result(self,
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result,
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test_name,
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result_dir,
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identifier='',
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_type='result',
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_id=None):
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data = {}
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result['browbeat_uuid'] = str(browbeat_uuid)
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result['cloud_name'] = self.config['browbeat']['cloud_name']
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result['browbeat_config'] = self.config
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data['result'] = result
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data['test_name'] = test_name
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data['result_dir'] = result_dir
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data['identifier'] = identifier
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data['_type'] = _type
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data['_id'] = _id
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self.cache.append(data)
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now = datetime.datetime.utcnow()
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if (len(self.cache) <= self.max_cache_size and
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(now - self.last_upload) <= self.max_cache_age):
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return True
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else:
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return self.flush_cache()
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