f178612bef
We now store sqlalchemy engine object inside of our Connection object. This allows us to open multiple concurrent connections. Change-Id: I57b6d89f30c065643dbfab958e032f2adac59cd6
1101 lines
45 KiB
Python
1101 lines
45 KiB
Python
# -*- encoding: utf-8 -*-
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#
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# Author: John Tran <jhtran@att.com>
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# Julien Danjou <julien@danjou.info>
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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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"""SQLAlchemy storage backend."""
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from __future__ import absolute_import
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import datetime
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import operator
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import os
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import types
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from sqlalchemy import and_
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from sqlalchemy import desc
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from sqlalchemy import func
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from sqlalchemy.orm import aliased
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from ceilometer.openstack.common.db import exception as dbexc
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import ceilometer.openstack.common.db.sqlalchemy.session as sqlalchemy_session
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from ceilometer.openstack.common.gettextutils import _ # noqa
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from ceilometer.openstack.common import log
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from ceilometer.openstack.common import timeutils
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from ceilometer.storage import base
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from ceilometer.storage import models as api_models
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from ceilometer.storage.sqlalchemy import migration
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from ceilometer.storage.sqlalchemy import models
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from ceilometer import utils
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LOG = log.getLogger(__name__)
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class SQLAlchemyStorage(base.StorageEngine):
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"""Put the data into a SQLAlchemy database.
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Tables::
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- user
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- { id: user uuid }
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- source
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- { id: source id }
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- project
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- { id: project uuid }
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- meter
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- the raw incoming data
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- { id: meter id
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counter_name: counter name
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user_id: user uuid (->user.id)
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project_id: project uuid (->project.id)
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resource_id: resource uuid (->resource.id)
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resource_metadata: metadata dictionaries
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counter_type: counter type
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counter_unit: counter unit
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counter_volume: counter volume
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timestamp: datetime
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message_signature: message signature
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message_id: message uuid
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}
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- resource
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- the metadata for resources
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- { id: resource uuid
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resource_metadata: metadata dictionaries
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project_id: project uuid (->project.id)
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user_id: user uuid (->user.id)
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}
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- sourceassoc
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- the relationships
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- { meter_id: meter id (->meter.id)
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project_id: project uuid (->project.id)
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resource_id: resource uuid (->resource.id)
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user_id: user uuid (->user.id)
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source_id: source id (->source.id)
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}
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"""
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@staticmethod
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def get_connection(conf):
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"""Return a Connection instance based on the configuration settings.
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"""
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return Connection(conf)
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META_TYPE_MAP = {bool: models.MetaBool,
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str: models.MetaText,
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unicode: models.MetaText,
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types.NoneType: models.MetaText,
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int: models.MetaBigInt,
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long: models.MetaBigInt,
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float: models.MetaFloat}
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def apply_metaquery_filter(session, query, metaquery):
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"""Apply provided metaquery filter to existing query.
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:param session: session used for original query
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:param query: Query instance
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:param metaquery: dict with metadata to match on.
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"""
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for k, v in metaquery.iteritems():
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key = k[9:] # strip out 'metadata.' prefix
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try:
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_model = META_TYPE_MAP[type(v)]
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except KeyError:
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raise NotImplementedError(_('Query on %(key)s is of %(value)s '
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'type and is not supported') %
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{"key": k, "value": type(v)})
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else:
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meta_q = session.query(_model).\
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filter(and_(_model.meta_key == key,
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_model.value == v)).subquery()
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query = query.filter_by(id=meta_q.c.id)
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return query
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def make_query_from_filter(session, query, sample_filter, require_meter=True):
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"""Return a query dictionary based on the settings in the filter.
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:param filter: SampleFilter instance
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:param require_meter: If true and the filter does not have a meter,
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raise an error.
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"""
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if sample_filter.meter:
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query = query.filter(models.Meter.counter_name == sample_filter.meter)
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elif require_meter:
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raise RuntimeError(_('Missing required meter specifier'))
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if sample_filter.source:
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query = query.filter(models.Meter.sources.any(id=sample_filter.source))
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if sample_filter.start:
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ts_start = sample_filter.start
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if sample_filter.start_timestamp_op == 'gt':
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query = query.filter(models.Meter.timestamp > ts_start)
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else:
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query = query.filter(models.Meter.timestamp >= ts_start)
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if sample_filter.end:
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ts_end = sample_filter.end
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if sample_filter.end_timestamp_op == 'le':
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query = query.filter(models.Meter.timestamp <= ts_end)
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else:
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query = query.filter(models.Meter.timestamp < ts_end)
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if sample_filter.user:
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query = query.filter_by(user_id=sample_filter.user)
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if sample_filter.project:
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query = query.filter_by(project_id=sample_filter.project)
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if sample_filter.resource:
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query = query.filter_by(resource_id=sample_filter.resource)
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if sample_filter.message_id:
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query = query.filter_by(message_id=sample_filter.message_id)
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if sample_filter.metaquery:
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query = apply_metaquery_filter(session, query,
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sample_filter.metaquery)
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return query
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class Connection(base.Connection):
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"""SqlAlchemy connection."""
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def __init__(self, conf):
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url = conf.database.connection
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if url == 'sqlite://':
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conf.database.connection = \
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os.environ.get('CEILOMETER_TEST_SQL_URL', url)
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# NOTE(Alexei_987) Related to bug #1271103
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# we steal objects from sqlalchemy_session
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# to manage their lifetime on our own.
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# This is needed to open several db connections
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self._engine = sqlalchemy_session.get_engine()
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self._maker = sqlalchemy_session.get_maker(self._engine)
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sqlalchemy_session._ENGINE = None
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sqlalchemy_session._MAKER = None
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def _get_db_session(self):
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return self._maker()
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def upgrade(self):
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migration.db_sync(self._engine)
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def clear(self):
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for table in reversed(models.Base.metadata.sorted_tables):
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self._engine.execute(table.delete())
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self._maker.close_all()
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self._engine.dispose()
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@staticmethod
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def _create_or_update(session, model_class, _id, source=None, **kwargs):
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if not _id:
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return None
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try:
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# create a nested session for the case of two call of
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# record_metering_data run in parallel to not fail the
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# record of this sample
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# (except for sqlite, that doesn't support nested
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# transaction and doesn't have concurrency problem)
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nested = session.connection().dialect.name != 'sqlite'
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# raise dbexc.DBDuplicateEntry manually for sqlite
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# to not break the current session
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if not nested and session.query(model_class).get(str(_id)):
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raise dbexc.DBDuplicateEntry()
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with session.begin(nested=nested,
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subtransactions=not nested):
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obj = model_class(id=str(_id))
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session.add(obj)
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except dbexc.DBDuplicateEntry:
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# requery the object from the db if this is an other
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# parallel/previous call of record_metering_data that
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# have successfully created this object
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obj = session.query(model_class).get(str(_id))
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# update the object
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if source and not filter(lambda x: x.id == source.id, obj.sources):
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obj.sources.append(source)
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for k in kwargs:
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setattr(obj, k, kwargs[k])
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return obj
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def record_metering_data(self, data):
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"""Write the data to the backend storage system.
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:param data: a dictionary such as returned by
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ceilometer.meter.meter_message_from_counter
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"""
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session = self._get_db_session()
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with session.begin():
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# Record the updated resource metadata
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rmetadata = data['resource_metadata']
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source = self._create_or_update(session, models.Source,
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data['source'])
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user = self._create_or_update(session, models.User,
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data['user_id'], source)
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project = self._create_or_update(session, models.Project,
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data['project_id'], source)
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resource = self._create_or_update(session, models.Resource,
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data['resource_id'], source,
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user=user, project=project,
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resource_metadata=rmetadata)
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# Record the raw data for the meter.
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meter = models.Meter(counter_type=data['counter_type'],
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counter_unit=data['counter_unit'],
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counter_name=data['counter_name'],
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resource=resource)
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session.add(meter)
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if not filter(lambda x: x.id == source.id, meter.sources):
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meter.sources.append(source)
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meter.project = project
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meter.user = user
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meter.timestamp = data['timestamp']
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meter.resource_metadata = rmetadata
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meter.counter_volume = data['counter_volume']
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meter.message_signature = data['message_signature']
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meter.message_id = data['message_id']
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session.flush()
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if rmetadata:
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if isinstance(rmetadata, dict):
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for key, v in utils.dict_to_keyval(rmetadata):
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try:
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_model = META_TYPE_MAP[type(v)]
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except KeyError:
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LOG.warn(_("Unknown metadata type. Key (%s) will "
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"not be queryable."), key)
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else:
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session.add(_model(id=meter.id,
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meta_key=key,
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value=v))
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def clear_expired_metering_data(self, ttl):
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"""Clear expired data from the backend storage system according to the
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time-to-live.
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:param ttl: Number of seconds to keep records for.
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"""
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session = self._get_db_session()
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with session.begin():
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end = timeutils.utcnow() - datetime.timedelta(seconds=ttl)
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meter_query = session.query(models.Meter)\
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.filter(models.Meter.timestamp < end)
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for meter_obj in meter_query.all():
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session.delete(meter_obj)
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query = session.query(models.User).filter(
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~models.User.id.in_(session.query(models.Meter.user_id)
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.group_by(models.Meter.user_id)),
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~models.User.id.in_(session.query(models.AlarmChange.user_id)
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.group_by(models.AlarmChange.user_id))
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)
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for user_obj in query.all():
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session.delete(user_obj)
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query = session.query(models.Project)\
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.filter(~models.Project.id.in_(
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session.query(models.Meter.project_id)
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.group_by(models.Meter.project_id)),
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~models.Project.id.in_(
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session.query(models.AlarmChange.project_id)
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.group_by(models.AlarmChange.project_id)),
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~models.Project.id.in_(
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session.query(models.AlarmChange.on_behalf_of)
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.group_by(models.AlarmChange.on_behalf_of))
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)
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for project_obj in query.all():
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session.delete(project_obj)
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query = session.query(models.Resource)\
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.filter(~models.Resource.id.in_(
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session.query(models.Meter.resource_id).group_by(
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models.Meter.resource_id)))
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for res_obj in query.all():
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session.delete(res_obj)
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def get_users(self, source=None):
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"""Return an iterable of user id strings.
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:param source: Optional source filter.
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"""
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query = self._get_db_session().query(models.User.id)
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if source is not None:
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query = query.filter(models.User.sources.any(id=source))
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return (x[0] for x in query.all())
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def get_projects(self, source=None):
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"""Return an iterable of project id strings.
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:param source: Optional source filter.
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"""
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query = self._get_db_session().query(models.Project.id)
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if source:
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query = query.filter(models.Project.sources.any(id=source))
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return (x[0] for x in query.all())
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def get_resources(self, user=None, project=None, source=None,
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start_timestamp=None, start_timestamp_op=None,
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end_timestamp=None, end_timestamp_op=None,
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metaquery={}, resource=None, pagination=None):
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"""Return an iterable of api_models.Resource instances
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:param user: Optional ID for user that owns the resource.
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:param project: Optional ID for project that owns the resource.
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:param source: Optional source filter.
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:param start_timestamp: Optional modified timestamp start range.
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:param start_timestamp_op: Optonal start time operator, like gt, ge.
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:param end_timestamp: Optional modified timestamp end range.
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:param end_timestamp_op: Optional end time operator, like lt, le.
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:param metaquery: Optional dict with metadata to match on.
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:param resource: Optional resource filter.
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:param pagination: Optional pagination query.
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"""
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# We probably want to raise these early, since we don't know from here
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# if they will be handled. We don't want extra wait or work for it to
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# just fail.
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if pagination:
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raise NotImplementedError(_('Pagination not implemented'))
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session = self._get_db_session()
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# (thomasm) We need to get the max timestamp first, since that's the
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# most accurate. We also need to filter down in the subquery to
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# constrain what we have to JOIN on later.
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ts_subquery = session.query(
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models.Meter.resource_id,
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func.max(models.Meter.timestamp).label("max_ts"),
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func.min(models.Meter.timestamp).label("min_ts")
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).group_by(models.Meter.resource_id)
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# Here are the basic 'eq' operation filters for the sample data.
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for column, value in [(models.Meter.resource_id, resource),
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(models.Meter.user_id, user),
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(models.Meter.project_id, project)]:
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if value:
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ts_subquery = ts_subquery.filter(column == value)
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if source:
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ts_subquery = ts_subquery.filter(
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models.Meter.sources.any(id=source))
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if metaquery:
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ts_subquery = apply_metaquery_filter(session,
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ts_subquery,
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metaquery)
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# Here we limit the samples being used to a specific time period,
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# if requested.
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if start_timestamp:
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if start_timestamp_op == 'gt':
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ts_subquery = ts_subquery.filter(
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models.Meter.timestamp > start_timestamp)
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else:
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ts_subquery = ts_subquery.filter(
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models.Meter.timestamp >= start_timestamp)
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if end_timestamp:
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if end_timestamp_op == 'le':
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ts_subquery = ts_subquery.filter(
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models.Meter.timestamp <= end_timestamp)
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else:
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ts_subquery = ts_subquery.filter(
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models.Meter.timestamp < end_timestamp)
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ts_subquery = ts_subquery.subquery()
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# Now we need to get the max Meter.id out of the leftover results, to
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# break any ties.
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agg_subquery = session.query(
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func.max(models.Meter.id).label("max_id"),
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ts_subquery
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).filter(
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models.Meter.resource_id == ts_subquery.c.resource_id,
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models.Meter.timestamp == ts_subquery.c.max_ts
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).group_by(
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ts_subquery.c.resource_id,
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ts_subquery.c.max_ts,
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ts_subquery.c.min_ts
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).subquery()
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query = session.query(
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models.Meter,
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agg_subquery.c.min_ts,
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agg_subquery.c.max_ts
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).filter(
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models.Meter.id == agg_subquery.c.max_id
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)
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for meter, first_ts, last_ts in query.all():
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yield api_models.Resource(
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resource_id=meter.resource_id,
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project_id=meter.project_id,
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first_sample_timestamp=first_ts,
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last_sample_timestamp=last_ts,
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source=meter.sources[0].id,
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user_id=meter.user_id,
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metadata=meter.resource_metadata,
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)
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def get_meters(self, user=None, project=None, resource=None, source=None,
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metaquery={}, pagination=None):
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"""Return an iterable of api_models.Meter instances
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:param user: Optional ID for user that owns the resource.
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:param project: Optional ID for project that owns the resource.
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:param resource: Optional ID of the resource.
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:param source: Optional source filter.
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:param metaquery: Optional dict with metadata to match on.
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:param pagination: Optional pagination query.
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"""
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if pagination:
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raise NotImplementedError(_('Pagination not implemented'))
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session = self._get_db_session()
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# Meter table will store large records and join with resource
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# will be very slow.
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# subquery_meter is used to reduce meter records
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# by selecting a record for each (resource_id, counter_name).
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# max() is used to choice a meter record, so the latest record
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# is selected for each (resource_id, counter_name).
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#
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subquery_meter = session.query(func.max(models.Meter.id).label('id'))\
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.group_by(models.Meter.resource_id,
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models.Meter.counter_name).subquery()
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# The SQL of query_meter is essentially:
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#
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# SELECT meter.* FROM meter INNER JOIN
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# (SELECT max(meter.id) AS id FROM meter
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# GROUP BY meter.resource_id, meter.counter_name) AS anon_2
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# ON meter.id = anon_2.id
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#
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query_meter = session.query(models.Meter).\
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join(subquery_meter, models.Meter.id == subquery_meter.c.id)
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if metaquery:
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query_meter = apply_metaquery_filter(session,
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query_meter,
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metaquery)
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alias_meter = aliased(models.Meter, query_meter.subquery())
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query = session.query(models.Resource, alias_meter).join(
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alias_meter, models.Resource.id == alias_meter.resource_id)
|
|
|
|
if user is not None:
|
|
query = query.filter(models.Resource.user_id == user)
|
|
if source is not None:
|
|
query = query.filter(models.Resource.sources.any(id=source))
|
|
if resource:
|
|
query = query.filter(models.Resource.id == resource)
|
|
if project is not None:
|
|
query = query.filter(models.Resource.project_id == project)
|
|
|
|
for resource, meter in query.all():
|
|
yield api_models.Meter(
|
|
name=meter.counter_name,
|
|
type=meter.counter_type,
|
|
unit=meter.counter_unit,
|
|
resource_id=resource.id,
|
|
project_id=resource.project_id,
|
|
source=resource.sources[0].id,
|
|
user_id=resource.user_id)
|
|
|
|
def get_samples(self, sample_filter, limit=None):
|
|
"""Return an iterable of api_models.Samples.
|
|
|
|
:param sample_filter: Filter.
|
|
:param limit: Maximum number of results to return.
|
|
"""
|
|
if limit == 0:
|
|
return
|
|
|
|
session = self._get_db_session()
|
|
query = session.query(models.Meter)
|
|
query = make_query_from_filter(session, query, sample_filter,
|
|
require_meter=False)
|
|
if limit:
|
|
query = query.limit(limit)
|
|
samples = query.from_self()\
|
|
.order_by(desc(models.Meter.timestamp)).all()
|
|
|
|
for s in samples:
|
|
# Remove the id generated by the database when
|
|
# the sample was inserted. It is an implementation
|
|
# detail that should not leak outside of the driver.
|
|
yield api_models.Sample(
|
|
# Replace 'sources' with 'source' to meet the caller's
|
|
# expectation, Meter.sources contains one and only one
|
|
# source in the current implementation.
|
|
source=s.sources[0].id,
|
|
counter_name=s.counter_name,
|
|
counter_type=s.counter_type,
|
|
counter_unit=s.counter_unit,
|
|
counter_volume=s.counter_volume,
|
|
user_id=s.user_id,
|
|
project_id=s.project_id,
|
|
resource_id=s.resource_id,
|
|
timestamp=s.timestamp,
|
|
resource_metadata=s.resource_metadata,
|
|
message_id=s.message_id,
|
|
message_signature=s.message_signature,
|
|
)
|
|
|
|
def _make_stats_query(self, sample_filter, groupby):
|
|
select = [
|
|
models.Meter.counter_unit.label('unit'),
|
|
func.min(models.Meter.timestamp).label('tsmin'),
|
|
func.max(models.Meter.timestamp).label('tsmax'),
|
|
func.avg(models.Meter.counter_volume).label('avg'),
|
|
func.sum(models.Meter.counter_volume).label('sum'),
|
|
func.min(models.Meter.counter_volume).label('min'),
|
|
func.max(models.Meter.counter_volume).label('max'),
|
|
func.count(models.Meter.counter_volume).label('count'),
|
|
]
|
|
|
|
session = self._get_db_session()
|
|
|
|
if groupby:
|
|
group_attributes = [getattr(models.Meter, g) for g in groupby]
|
|
select.extend(group_attributes)
|
|
|
|
query = session.query(*select)
|
|
|
|
if groupby:
|
|
query = query.group_by(*group_attributes)
|
|
|
|
return make_query_from_filter(session, query, sample_filter)
|
|
|
|
@staticmethod
|
|
def _stats_result_to_model(result, period, period_start,
|
|
period_end, groupby):
|
|
duration = (timeutils.delta_seconds(result.tsmin, result.tsmax)
|
|
if result.tsmin is not None and result.tsmax is not None
|
|
else None)
|
|
return api_models.Statistics(
|
|
unit=result.unit,
|
|
count=int(result.count),
|
|
min=result.min,
|
|
max=result.max,
|
|
avg=result.avg,
|
|
sum=result.sum,
|
|
duration_start=result.tsmin,
|
|
duration_end=result.tsmax,
|
|
duration=duration,
|
|
period=period,
|
|
period_start=period_start,
|
|
period_end=period_end,
|
|
groupby=(dict((g, getattr(result, g)) for g in groupby)
|
|
if groupby else None)
|
|
)
|
|
|
|
def get_meter_statistics(self, sample_filter, period=None, groupby=None):
|
|
"""Return an iterable of api_models.Statistics instances containing
|
|
meter statistics described by the query parameters.
|
|
|
|
The filter must have a meter value set.
|
|
|
|
"""
|
|
if groupby:
|
|
for group in groupby:
|
|
if group not in ['user_id', 'project_id', 'resource_id']:
|
|
raise NotImplementedError(
|
|
_("Unable to group by these fields"))
|
|
|
|
if not period:
|
|
for res in self._make_stats_query(sample_filter, groupby):
|
|
if res.count:
|
|
yield self._stats_result_to_model(res, 0,
|
|
res.tsmin, res.tsmax,
|
|
groupby)
|
|
return
|
|
|
|
if not sample_filter.start or not sample_filter.end:
|
|
res = self._make_stats_query(sample_filter, None).first()
|
|
|
|
query = self._make_stats_query(sample_filter, groupby)
|
|
# HACK(jd) This is an awful method to compute stats by period, but
|
|
# since we're trying to be SQL agnostic we have to write portable
|
|
# code, so here it is, admire! We're going to do one request to get
|
|
# stats by period. We would like to use GROUP BY, but there's no
|
|
# portable way to manipulate timestamp in SQL, so we can't.
|
|
for period_start, period_end in base.iter_period(
|
|
sample_filter.start or res.tsmin,
|
|
sample_filter.end or res.tsmax,
|
|
period):
|
|
q = query.filter(models.Meter.timestamp >= period_start)
|
|
q = q.filter(models.Meter.timestamp < period_end)
|
|
for r in q.all():
|
|
if r.count:
|
|
yield self._stats_result_to_model(
|
|
result=r,
|
|
period=int(timeutils.delta_seconds(period_start,
|
|
period_end)),
|
|
period_start=period_start,
|
|
period_end=period_end,
|
|
groupby=groupby
|
|
)
|
|
|
|
@staticmethod
|
|
def _row_to_alarm_model(row):
|
|
return api_models.Alarm(alarm_id=row.id,
|
|
enabled=row.enabled,
|
|
type=row.type,
|
|
name=row.name,
|
|
description=row.description,
|
|
timestamp=row.timestamp,
|
|
user_id=row.user_id,
|
|
project_id=row.project_id,
|
|
state=row.state,
|
|
state_timestamp=row.state_timestamp,
|
|
ok_actions=row.ok_actions,
|
|
alarm_actions=row.alarm_actions,
|
|
insufficient_data_actions=
|
|
row.insufficient_data_actions,
|
|
rule=row.rule,
|
|
repeat_actions=row.repeat_actions)
|
|
|
|
def get_alarms(self, name=None, user=None,
|
|
project=None, enabled=None, alarm_id=None, pagination=None):
|
|
"""Yields a lists of alarms that match filters
|
|
:param user: Optional ID for user that owns the resource.
|
|
:param project: Optional ID for project that owns the resource.
|
|
:param enabled: Optional boolean to list disable alarm.
|
|
:param alarm_id: Optional alarm_id to return one alarm.
|
|
:param pagination: Optional pagination query.
|
|
"""
|
|
|
|
if pagination:
|
|
raise NotImplementedError(_('Pagination not implemented'))
|
|
|
|
session = self._get_db_session()
|
|
query = session.query(models.Alarm)
|
|
if name is not None:
|
|
query = query.filter(models.Alarm.name == name)
|
|
if enabled is not None:
|
|
query = query.filter(models.Alarm.enabled == enabled)
|
|
if user is not None:
|
|
query = query.filter(models.Alarm.user_id == user)
|
|
if project is not None:
|
|
query = query.filter(models.Alarm.project_id == project)
|
|
if alarm_id is not None:
|
|
query = query.filter(models.Alarm.id == alarm_id)
|
|
|
|
return (self._row_to_alarm_model(x) for x in query.all())
|
|
|
|
def create_alarm(self, alarm):
|
|
"""Create an alarm.
|
|
|
|
:param alarm: The alarm to create.
|
|
"""
|
|
session = self._get_db_session()
|
|
with session.begin():
|
|
alarm_row = models.Alarm(id=alarm.alarm_id)
|
|
alarm_row.update(alarm.as_dict())
|
|
session.add(alarm_row)
|
|
|
|
return self._row_to_alarm_model(alarm_row)
|
|
|
|
def update_alarm(self, alarm):
|
|
"""Update an alarm.
|
|
|
|
:param alarm: the new Alarm to update
|
|
"""
|
|
session = self._get_db_session()
|
|
with session.begin():
|
|
Connection._create_or_update(session, models.User,
|
|
alarm.user_id)
|
|
Connection._create_or_update(session, models.Project,
|
|
alarm.project_id)
|
|
alarm_row = session.merge(models.Alarm(id=alarm.alarm_id))
|
|
alarm_row.update(alarm.as_dict())
|
|
|
|
return self._row_to_alarm_model(alarm_row)
|
|
|
|
def delete_alarm(self, alarm_id):
|
|
"""Delete a alarm
|
|
|
|
:param alarm_id: ID of the alarm to delete
|
|
"""
|
|
session = self._get_db_session()
|
|
with session.begin():
|
|
session.query(models.Alarm).filter(
|
|
models.Alarm.id == alarm_id).delete()
|
|
|
|
@staticmethod
|
|
def _row_to_alarm_change_model(row):
|
|
return api_models.AlarmChange(event_id=row.event_id,
|
|
alarm_id=row.alarm_id,
|
|
type=row.type,
|
|
detail=row.detail,
|
|
user_id=row.user_id,
|
|
project_id=row.project_id,
|
|
on_behalf_of=row.on_behalf_of,
|
|
timestamp=row.timestamp)
|
|
|
|
def get_alarm_changes(self, alarm_id, on_behalf_of,
|
|
user=None, project=None, type=None,
|
|
start_timestamp=None, start_timestamp_op=None,
|
|
end_timestamp=None, end_timestamp_op=None):
|
|
"""Yields list of AlarmChanges describing alarm history
|
|
|
|
Changes are always sorted in reverse order of occurrence, given
|
|
the importance of currency.
|
|
|
|
Segregation for non-administrative users is done on the basis
|
|
of the on_behalf_of parameter. This allows such users to have
|
|
visibility on both the changes initiated by themselves directly
|
|
(generally creation, rule changes, or deletion) and also on those
|
|
changes initiated on their behalf by the alarming service (state
|
|
transitions after alarm thresholds are crossed).
|
|
|
|
:param alarm_id: ID of alarm to return changes for
|
|
:param on_behalf_of: ID of tenant to scope changes query (None for
|
|
administrative user, indicating all projects)
|
|
:param user: Optional ID of user to return changes for
|
|
:param project: Optional ID of project to return changes for
|
|
:project type: Optional change type
|
|
:param start_timestamp: Optional modified timestamp start range
|
|
:param start_timestamp_op: Optional timestamp start range operation
|
|
:param end_timestamp: Optional modified timestamp end range
|
|
:param end_timestamp_op: Optional timestamp end range operation
|
|
"""
|
|
session = self._get_db_session()
|
|
query = session.query(models.AlarmChange)
|
|
query = query.filter(models.AlarmChange.alarm_id == alarm_id)
|
|
|
|
if on_behalf_of is not None:
|
|
query = query.filter(
|
|
models.AlarmChange.on_behalf_of == on_behalf_of)
|
|
if user is not None:
|
|
query = query.filter(models.AlarmChange.user_id == user)
|
|
if project is not None:
|
|
query = query.filter(models.AlarmChange.project_id == project)
|
|
if type is not None:
|
|
query = query.filter(models.AlarmChange.type == type)
|
|
if start_timestamp:
|
|
if start_timestamp_op == 'gt':
|
|
query = query.filter(
|
|
models.AlarmChange.timestamp > start_timestamp)
|
|
else:
|
|
query = query.filter(
|
|
models.AlarmChange.timestamp >= start_timestamp)
|
|
if end_timestamp:
|
|
if end_timestamp_op == 'le':
|
|
query = query.filter(
|
|
models.AlarmChange.timestamp <= end_timestamp)
|
|
else:
|
|
query = query.filter(
|
|
models.AlarmChange.timestamp < end_timestamp)
|
|
|
|
query = query.order_by(desc(models.AlarmChange.timestamp))
|
|
return (self._row_to_alarm_change_model(x) for x in query.all())
|
|
|
|
def record_alarm_change(self, alarm_change):
|
|
"""Record alarm change event.
|
|
"""
|
|
session = self._get_db_session()
|
|
with session.begin():
|
|
Connection._create_or_update(session, models.User,
|
|
alarm_change['user_id'])
|
|
Connection._create_or_update(session, models.Project,
|
|
alarm_change['project_id'])
|
|
Connection._create_or_update(session, models.Project,
|
|
alarm_change['on_behalf_of'])
|
|
alarm_change_row = models.AlarmChange(
|
|
event_id=alarm_change['event_id'])
|
|
alarm_change_row.update(alarm_change)
|
|
session.add(alarm_change_row)
|
|
|
|
def _get_or_create_trait_type(self, trait_type, data_type, session=None):
|
|
"""Find if this trait already exists in the database, and
|
|
if it does not, create a new entry in the trait type table.
|
|
"""
|
|
if session is None:
|
|
session = self._get_db_session()
|
|
with session.begin(subtransactions=True):
|
|
tt = session.query(models.TraitType).filter(
|
|
models.TraitType.desc == trait_type,
|
|
models.TraitType.data_type == data_type).first()
|
|
if not tt:
|
|
tt = models.TraitType(trait_type, data_type)
|
|
session.add(tt)
|
|
return tt
|
|
|
|
def _make_trait(self, trait_model, event, session=None):
|
|
"""Make a new Trait from a Trait model.
|
|
|
|
Doesn't flush or add to session.
|
|
"""
|
|
trait_type = self._get_or_create_trait_type(trait_model.name,
|
|
trait_model.dtype,
|
|
session)
|
|
value_map = models.Trait._value_map
|
|
values = {'t_string': None, 't_float': None,
|
|
't_int': None, 't_datetime': None}
|
|
value = trait_model.value
|
|
values[value_map[trait_model.dtype]] = value
|
|
return models.Trait(trait_type, event, **values)
|
|
|
|
def _get_or_create_event_type(self, event_type, session=None):
|
|
"""Here, we check to see if an event type with the supplied
|
|
name already exists. If not, we create it and return the record.
|
|
|
|
This may result in a flush.
|
|
"""
|
|
if session is None:
|
|
session = self._get_db_session()
|
|
with session.begin(subtransactions=True):
|
|
et = session.query(models.EventType).filter(
|
|
models.EventType.desc == event_type).first()
|
|
if not et:
|
|
et = models.EventType(event_type)
|
|
session.add(et)
|
|
return et
|
|
|
|
def _record_event(self, session, event_model):
|
|
"""Store a single Event, including related Traits.
|
|
"""
|
|
with session.begin(subtransactions=True):
|
|
event_type = self._get_or_create_event_type(event_model.event_type,
|
|
session=session)
|
|
|
|
event = models.Event(event_model.message_id, event_type,
|
|
event_model.generated)
|
|
session.add(event)
|
|
|
|
new_traits = []
|
|
if event_model.traits:
|
|
for trait in event_model.traits:
|
|
t = self._make_trait(trait, event, session=session)
|
|
session.add(t)
|
|
new_traits.append(t)
|
|
|
|
# Note: we don't flush here, explicitly (unless a new trait or event
|
|
# does it). Otherwise, just wait until all the Events are staged.
|
|
return (event, new_traits)
|
|
|
|
def record_events(self, event_models):
|
|
"""Write the events to SQL database via sqlalchemy.
|
|
|
|
:param event_models: a list of model.Event objects.
|
|
|
|
Returns a list of events that could not be saved in a
|
|
(reason, event) tuple. Reasons are enumerated in
|
|
storage.model.Event
|
|
|
|
Flush when they're all added, unless new EventTypes or
|
|
TraitTypes are added along the way.
|
|
"""
|
|
session = self._get_db_session()
|
|
events = []
|
|
problem_events = []
|
|
for event_model in event_models:
|
|
event = None
|
|
try:
|
|
with session.begin():
|
|
event = self._record_event(session, event_model)
|
|
except dbexc.DBDuplicateEntry:
|
|
problem_events.append((api_models.Event.DUPLICATE,
|
|
event_model))
|
|
except Exception as e:
|
|
LOG.exception(_('Failed to record event: %s') % e)
|
|
problem_events.append((api_models.Event.UNKNOWN_PROBLEM,
|
|
event_model))
|
|
events.append(event)
|
|
return problem_events
|
|
|
|
def get_events(self, event_filter):
|
|
"""Return an iterable of model.Event objects.
|
|
|
|
:param event_filter: EventFilter instance
|
|
"""
|
|
|
|
start = event_filter.start_time
|
|
end = event_filter.end_time
|
|
session = self._get_db_session()
|
|
LOG.debug(_("Getting events that match filter: %s") % event_filter)
|
|
with session.begin():
|
|
event_query = session.query(models.Event)
|
|
|
|
# Build up the join conditions
|
|
event_join_conditions = [models.EventType.id ==
|
|
models.Event.event_type_id]
|
|
|
|
if event_filter.event_type:
|
|
event_join_conditions\
|
|
.append(models.EventType.desc == event_filter.event_type)
|
|
|
|
event_query = event_query.join(models.EventType,
|
|
and_(*event_join_conditions))
|
|
|
|
# Build up the where conditions
|
|
event_filter_conditions = []
|
|
if event_filter.message_id:
|
|
event_filter_conditions\
|
|
.append(models.Event.message_id == event_filter.message_id)
|
|
if start:
|
|
event_filter_conditions.append(models.Event.generated >= start)
|
|
if end:
|
|
event_filter_conditions.append(models.Event.generated <= end)
|
|
|
|
if event_filter_conditions:
|
|
event_query = event_query\
|
|
.filter(and_(*event_filter_conditions))
|
|
|
|
event_models_dict = {}
|
|
if event_filter.traits_filter:
|
|
for trait_filter in event_filter.traits_filter:
|
|
|
|
# Build a sub query that joins Trait to TraitType
|
|
# where the trait name matches
|
|
trait_name = trait_filter.pop('key')
|
|
conditions = [models.Trait.trait_type_id ==
|
|
models.TraitType.id,
|
|
models.TraitType.desc == trait_name]
|
|
|
|
for key, value in trait_filter.iteritems():
|
|
if key == 'string':
|
|
conditions.append(models.Trait.t_string == value)
|
|
elif key == 'integer':
|
|
conditions.append(models.Trait.t_int == value)
|
|
elif key == 'datetime':
|
|
conditions.append(models.Trait.t_datetime == value)
|
|
elif key == 'float':
|
|
conditions.append(models.Trait.t_float == value)
|
|
|
|
trait_query = session.query(models.Trait.event_id)\
|
|
.join(models.TraitType, and_(*conditions)).subquery()
|
|
|
|
event_query = event_query\
|
|
.join(trait_query,
|
|
models.Event.id == trait_query.c.event_id)
|
|
else:
|
|
# If there are no trait filters, grab the events from the db
|
|
query = session.query(models.Event.id,
|
|
models.Event.generated,
|
|
models.Event.message_id,
|
|
models.EventType.desc)\
|
|
.join(models.EventType,
|
|
and_(*event_join_conditions))
|
|
if event_filter_conditions:
|
|
query = query.filter(and_(*event_filter_conditions))
|
|
for (id, generated, message_id, desc) in query.all():
|
|
event_models_dict[id] = api_models.Event(message_id,
|
|
desc,
|
|
generated,
|
|
[])
|
|
|
|
# Build event models for the events
|
|
event_query = event_query.subquery()
|
|
query = session.query(models.Trait)\
|
|
.join(models.TraitType,
|
|
models.Trait.trait_type_id == models.TraitType.id)\
|
|
.join(event_query, models.Trait.event_id == event_query.c.id)
|
|
|
|
# Now convert the sqlalchemy objects back into Models ...
|
|
for trait in query.all():
|
|
event = event_models_dict.get(trait.event_id)
|
|
if not event:
|
|
event = api_models.Event(
|
|
trait.event.message_id,
|
|
trait.event.event_type.desc,
|
|
trait.event.generated, [])
|
|
event_models_dict[trait.event_id] = event
|
|
trait_model = api_models.Trait(trait.trait_type.desc,
|
|
trait.trait_type.data_type,
|
|
trait.get_value())
|
|
event.append_trait(trait_model)
|
|
|
|
event_models = event_models_dict.values()
|
|
return sorted(event_models, key=operator.attrgetter('generated'))
|
|
|
|
def get_event_types(self):
|
|
"""Return all event types as an iterable of strings.
|
|
"""
|
|
|
|
session = self._get_db_session()
|
|
with session.begin():
|
|
query = session.query(models.EventType.desc)\
|
|
.order_by(models.EventType.desc)
|
|
for name in query.all():
|
|
# The query returns a tuple with one element.
|
|
yield name[0]
|
|
|
|
def get_trait_types(self, event_type):
|
|
"""Return a dictionary containing the name and data type of
|
|
the trait type. Only trait types for the provided event_type are
|
|
returned.
|
|
|
|
:param event_type: the type of the Event
|
|
"""
|
|
session = self._get_db_session()
|
|
|
|
LOG.debug(_("Get traits for %s") % event_type)
|
|
with session.begin():
|
|
query = (session.query(models.TraitType.desc,
|
|
models.TraitType.data_type)
|
|
.join(models.Trait,
|
|
models.Trait.trait_type_id ==
|
|
models.TraitType.id)
|
|
.join(models.Event,
|
|
models.Event.id ==
|
|
models.Trait.event_id)
|
|
.join(models.EventType,
|
|
and_(models.EventType.id ==
|
|
models.Event.id,
|
|
models.EventType.desc ==
|
|
event_type))
|
|
.group_by(models.TraitType.desc,
|
|
models.TraitType.data_type)
|
|
.distinct())
|
|
|
|
for desc, type in query.all():
|
|
yield {'name': desc, 'data_type': type}
|
|
|
|
def get_traits(self, event_type, trait_type=None):
|
|
"""Return all trait instances associated with an event_type. If
|
|
trait_type is specified, only return instances of that trait type.
|
|
|
|
:param event_type: the type of the Event to filter by
|
|
:param trait_type: the name of the Trait to filter by
|
|
"""
|
|
|
|
session = self._get_db_session()
|
|
with session.begin():
|
|
trait_type_filters = [models.TraitType.id ==
|
|
models.Trait.trait_type_id]
|
|
if trait_type:
|
|
trait_type_filters.append(models.TraitType.desc == trait_type)
|
|
|
|
query = (session.query(models.Trait)
|
|
.join(models.TraitType, and_(*trait_type_filters))
|
|
.join(models.Event,
|
|
models.Event.id == models.Trait.event_id)
|
|
.join(models.EventType,
|
|
and_(models.EventType.id ==
|
|
models.Event.event_type_id,
|
|
models.EventType.desc == event_type)))
|
|
|
|
for trait in query.all():
|
|
type = trait.trait_type
|
|
yield api_models.Trait(name=type.desc,
|
|
dtype=type.data_type,
|
|
value=trait.get_value())
|