2f43705f0b
For the event feature has dedicated storage implementation, clean the event related definition in metering storage base. Change-Id: I86003874232c57ae4982234de1a694159c1bd888
287 lines
9.9 KiB
Python
287 lines
9.9 KiB
Python
#
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# Copyright 2012 New Dream Network, LLC (DreamHost)
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#
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# Author: Doug Hellmann <doug.hellmann@dreamhost.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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"""Base classes for storage engines
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"""
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import datetime
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import inspect
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import math
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from oslo.utils import timeutils
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import six
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from six import moves
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import ceilometer
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def iter_period(start, end, period):
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"""Split a time from start to end in periods of a number of seconds.
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This function yields the (start, end) time for each period composing the
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time passed as argument.
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:param start: When the period set start.
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:param end: When the period end starts.
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:param period: The duration of the period.
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"""
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period_start = start
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increment = datetime.timedelta(seconds=period)
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for i in moves.xrange(int(math.ceil(
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timeutils.delta_seconds(start, end)
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/ float(period)))):
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next_start = period_start + increment
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yield (period_start, next_start)
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period_start = next_start
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def _handle_sort_key(model_name, sort_key=None):
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"""Generate sort keys according to the passed in sort key from user.
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:param model_name: Database model name be query.(alarm, meter, etc.)
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:param sort_key: sort key passed from user.
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return: sort keys list
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"""
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sort_keys_extra = {'alarm': ['name', 'user_id', 'project_id'],
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'meter': ['user_id', 'project_id'],
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'resource': ['user_id', 'project_id', 'timestamp'],
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}
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sort_keys = sort_keys_extra[model_name]
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if not sort_key:
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return sort_keys
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# NOTE(Fengqian): We need to put the sort key from user
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# in the first place of sort keys list.
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try:
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sort_keys.remove(sort_key)
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except ValueError:
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pass
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finally:
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sort_keys.insert(0, sort_key)
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return sort_keys
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class MultipleResultsFound(Exception):
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pass
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class NoResultFound(Exception):
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pass
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class Pagination(object):
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"""Class for pagination query."""
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def __init__(self, limit=None, primary_sort_dir='desc', sort_keys=None,
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sort_dirs=None, marker_value=None):
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"""This puts all parameters used for paginate query together.
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:param limit: Maximum number of items to return;
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:param primary_sort_dir: Sort direction of primary key.
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:param marker_value: Value of primary key to identify the last item of
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the previous page.
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:param sort_keys: Array of attributes passed in by users to sort the
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results besides the primary key.
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:param sort_dirs: Per-column array of sort_dirs, corresponding to
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sort_keys.
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"""
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self.limit = limit
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self.primary_sort_dir = primary_sort_dir
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self.marker_value = marker_value
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self.sort_keys = sort_keys or []
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self.sort_dirs = sort_dirs or []
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class Model(object):
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"""Base class for storage API models."""
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def __init__(self, **kwds):
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self.fields = list(kwds)
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for k, v in six.iteritems(kwds):
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setattr(self, k, v)
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def as_dict(self):
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d = {}
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for f in self.fields:
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v = getattr(self, f)
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if isinstance(v, Model):
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v = v.as_dict()
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elif isinstance(v, list) and v and isinstance(v[0], Model):
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v = [sub.as_dict() for sub in v]
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d[f] = v
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return d
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def __eq__(self, other):
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return self.as_dict() == other.as_dict()
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@classmethod
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def get_field_names(cls):
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fields = inspect.getargspec(cls.__init__)[0]
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return set(fields) - set(["self"])
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class Connection(object):
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"""Base class for storage system connections."""
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# A dictionary representing the capabilities of this driver.
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CAPABILITIES = {
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'meters': {'pagination': False,
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'query': {'simple': False,
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'metadata': False,
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'complex': False}},
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'resources': {'pagination': False,
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'query': {'simple': False,
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'metadata': False,
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'complex': False}},
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'samples': {'pagination': False,
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'groupby': False,
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'query': {'simple': False,
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'metadata': False,
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'complex': False}},
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'statistics': {'pagination': False,
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'groupby': False,
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'query': {'simple': False,
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'metadata': False,
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'complex': False},
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'aggregation': {'standard': False,
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'selectable': {
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'max': False,
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'min': False,
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'sum': False,
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'avg': False,
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'count': False,
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'stddev': False,
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'cardinality': False}}
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},
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}
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STORAGE_CAPABILITIES = {
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'storage': {'production_ready': False},
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}
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def __init__(self, url):
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pass
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@staticmethod
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def upgrade():
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"""Migrate the database to `version` or the most recent version."""
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@staticmethod
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def record_metering_data(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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All timestamps must be naive utc datetime object.
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"""
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raise ceilometer.NotImplementedError(
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'Recording metering data is not implemented')
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@staticmethod
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def clear_expired_metering_data(ttl):
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"""Clear expired data from the backend storage system.
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Clearing occurs according to the time-to-live.
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:param ttl: Number of seconds to keep records for.
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"""
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raise ceilometer.NotImplementedError(
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'Clearing samples not implemented')
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@staticmethod
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def get_resources(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=None, resource=None, pagination=None):
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"""Return an iterable of models.Resource instances.
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Iterable items containing resource information.
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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: Optional timestamp start range operation.
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:param end_timestamp: Optional modified timestamp end range.
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:param end_timestamp_op: Optional timestamp end range operation.
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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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raise ceilometer.NotImplementedError('Resources not implemented')
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@staticmethod
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def get_meters(user=None, project=None, resource=None, source=None,
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metaquery=None, pagination=None):
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"""Return an iterable of model.Meter instances.
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Iterable items containing meter information.
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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 resource filter.
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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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raise ceilometer.NotImplementedError('Meters not implemented')
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@staticmethod
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def get_samples(sample_filter, limit=None):
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"""Return an iterable of model.Sample instances.
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:param sample_filter: Filter.
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:param limit: Maximum number of results to return.
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"""
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raise ceilometer.NotImplementedError('Samples not implemented')
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@staticmethod
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def get_meter_statistics(sample_filter, period=None, groupby=None,
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aggregate=None):
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"""Return an iterable of model.Statistics instances.
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The filter must have a meter value set.
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"""
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raise ceilometer.NotImplementedError('Statistics not implemented')
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@staticmethod
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def clear():
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"""Clear database."""
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@staticmethod
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def query_samples(filter_expr=None, orderby=None, limit=None):
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"""Return an iterable of model.Sample objects.
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:param filter_expr: Filter expression for query.
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:param orderby: List of field name and direction pairs for order by.
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:param limit: Maximum number of results to return.
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"""
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raise ceilometer.NotImplementedError('Complex query for samples '
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'is not implemented.')
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@classmethod
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def get_capabilities(cls):
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"""Return an dictionary with the capabilities of each driver."""
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return cls.CAPABILITIES
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@classmethod
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def get_storage_capabilities(cls):
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"""Return a dictionary representing the performance capabilities.
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This is needed to evaluate the performance of each driver.
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"""
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return cls.STORAGE_CAPABILITIES
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