fa3f4d6c5d
Resources statically defined in pipeline.yaml are currently not subject to workload partitioning, so we can't do HA. If we have multiple agents running with the same pipeline.yaml, the samples will be duplicated. This patch partitions the static resources as well. Closes-bug: #1369538 Change-Id: Iff3b33db58302fb2e89b1b3722937a031a70be5f
245 lines
9.5 KiB
Python
245 lines
9.5 KiB
Python
#
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# Copyright 2013 Julien Danjou
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# Copyright 2014 Red Hat, Inc
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#
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# Authors: Julien Danjou <julien@danjou.info>
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# Eoghan Glynn <eglynn@redhat.com>
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# Nejc Saje <nsaje@redhat.com>
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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 collections
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import itertools
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from oslo.config import cfg
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import six
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from six.moves.urllib import parse as urlparse
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from stevedore import extension
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from ceilometer import coordination
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from ceilometer.openstack.common import context
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from ceilometer.openstack.common.gettextutils import _
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from ceilometer.openstack.common import log
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from ceilometer.openstack.common import service as os_service
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from ceilometer import pipeline as publish_pipeline
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from ceilometer import utils
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LOG = log.getLogger(__name__)
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cfg.CONF.import_opt('heartbeat', 'ceilometer.coordination',
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group='coordination')
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class Resources(object):
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def __init__(self, agent_manager):
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self.agent_manager = agent_manager
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self._resources = []
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self._discovery = []
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def setup(self, pipeline):
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self._resources = pipeline.resources
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self._discovery = pipeline.discovery
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def get(self, discovery_cache=None):
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source_discovery = (self.agent_manager.discover(self._discovery,
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discovery_cache)
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if self._discovery else [])
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static_resources = []
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if self._resources:
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static_resources_group = self.agent_manager.construct_group_id(
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utils.hash_of_set(self._resources))
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p_coord = self.agent_manager.partition_coordinator
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static_resources = p_coord.extract_my_subset(
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static_resources_group, self._resources)
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return static_resources + source_discovery
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@staticmethod
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def key(source, pollster):
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return '%s-%s' % (source.name, pollster.name)
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class PollingTask(object):
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"""Polling task for polling samples and inject into pipeline.
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A polling task can be invoked periodically or only once.
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"""
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def __init__(self, agent_manager):
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self.manager = agent_manager
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# elements of the Cartesian product of sources X pollsters
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# with a common interval
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self.pollster_matches = set()
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# per-sink publisher contexts associated with each source
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self.publishers = {}
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# we relate the static resources and per-source discovery to
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# each combination of pollster and matching source
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resource_factory = lambda: Resources(agent_manager)
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self.resources = collections.defaultdict(resource_factory)
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def add(self, pollster, pipeline):
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if pipeline.source.name not in self.publishers:
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publish_context = publish_pipeline.PublishContext(
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self.manager.context)
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self.publishers[pipeline.source.name] = publish_context
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self.publishers[pipeline.source.name].add_pipelines([pipeline])
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self.pollster_matches.update([(pipeline.source, pollster)])
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key = Resources.key(pipeline.source, pollster)
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self.resources[key].setup(pipeline)
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def poll_and_publish(self):
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"""Polling sample and publish into pipeline."""
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agent_resources = self.manager.discover()
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cache = {}
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discovery_cache = {}
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for source, pollster in self.pollster_matches:
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LOG.info(_("Polling pollster %(poll)s in the context of %(src)s"),
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dict(poll=pollster.name, src=source))
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pollster_resources = None
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if pollster.obj.default_discovery:
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pollster_resources = self.manager.discover(
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[pollster.obj.default_discovery], discovery_cache)
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key = Resources.key(source, pollster)
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source_resources = list(self.resources[key].get(discovery_cache))
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with self.publishers[source.name] as publisher:
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try:
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samples = list(pollster.obj.get_samples(
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manager=self.manager,
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cache=cache,
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resources=(source_resources or
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pollster_resources or
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agent_resources)
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))
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publisher(samples)
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except Exception as err:
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LOG.warning(_(
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'Continue after error from %(name)s: %(error)s')
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% ({'name': pollster.name, 'error': err}),
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exc_info=True)
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class AgentManager(os_service.Service):
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def __init__(self, namespace, default_discovery=None, group_prefix=None):
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super(AgentManager, self).__init__()
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default_discovery = default_discovery or []
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self.default_discovery = default_discovery
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self.pollster_manager = self._extensions('poll', namespace)
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self.discovery_manager = self._extensions('discover')
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self.context = context.RequestContext('admin', 'admin', is_admin=True)
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self.partition_coordinator = coordination.PartitionCoordinator()
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self.group_prefix = ('%s-%s' % (namespace, group_prefix)
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if group_prefix else namespace)
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@staticmethod
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def _extensions(category, agent_ns=None):
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namespace = ('ceilometer.%s.%s' % (category, agent_ns) if agent_ns
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else 'ceilometer.%s' % category)
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return extension.ExtensionManager(
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namespace=namespace,
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invoke_on_load=True,
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)
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def join_partitioning_groups(self):
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groups = set([self.construct_group_id(d.obj.group_id)
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for d in self.discovery_manager])
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# let each set of statically-defined resources have its own group
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static_resource_groups = set([
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self.construct_group_id(utils.hash_of_set(p.resources))
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for p in self.pipeline_manager.pipelines
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if p.resources
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])
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groups.update(static_resource_groups)
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for group in groups:
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self.partition_coordinator.join_group(group)
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def create_polling_task(self):
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"""Create an initially empty polling task."""
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return PollingTask(self)
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def setup_polling_tasks(self):
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polling_tasks = {}
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for pipeline, pollster in itertools.product(
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self.pipeline_manager.pipelines,
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self.pollster_manager.extensions):
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if pipeline.support_meter(pollster.name):
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polling_task = polling_tasks.get(pipeline.get_interval())
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if not polling_task:
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polling_task = self.create_polling_task()
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polling_tasks[pipeline.get_interval()] = polling_task
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polling_task.add(pollster, pipeline)
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return polling_tasks
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def construct_group_id(self, discovery_group_id):
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return ('%s-%s' % (self.group_prefix,
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discovery_group_id)
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if discovery_group_id else None)
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def start(self):
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self.pipeline_manager = publish_pipeline.setup_pipeline()
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self.partition_coordinator.start()
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self.join_partitioning_groups()
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# allow time for coordination if necessary
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delay_start = self.partition_coordinator.is_active()
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for interval, task in six.iteritems(self.setup_polling_tasks()):
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self.tg.add_timer(interval,
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self.interval_task,
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initial_delay=interval if delay_start else None,
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task=task)
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self.tg.add_timer(cfg.CONF.coordination.heartbeat,
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self.partition_coordinator.heartbeat)
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@staticmethod
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def interval_task(task):
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task.poll_and_publish()
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@staticmethod
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def _parse_discoverer(url):
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s = urlparse.urlparse(url)
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return (s.scheme or s.path), (s.netloc + s.path if s.scheme else None)
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def _discoverer(self, name):
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for d in self.discovery_manager:
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if d.name == name:
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return d.obj
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return None
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def discover(self, discovery=None, discovery_cache=None):
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resources = []
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for url in (discovery or self.default_discovery):
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if discovery_cache is not None and url in discovery_cache:
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resources.extend(discovery_cache[url])
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continue
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name, param = self._parse_discoverer(url)
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discoverer = self._discoverer(name)
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if discoverer:
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try:
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discovered = discoverer.discover(self, param)
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partitioned = self.partition_coordinator.extract_my_subset(
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self.construct_group_id(discoverer.group_id),
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discovered)
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resources.extend(partitioned)
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if discovery_cache is not None:
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discovery_cache[url] = partitioned
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except Exception as err:
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LOG.exception(_('Unable to discover resources: %s') % err)
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else:
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LOG.warning(_('Unknown discovery extension: %s') % name)
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return resources
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