7872d0d6f5
The v2 module is a bit large, more than 2700 LOC, we put everything into it. This patch splits it to several modules by resources. Change-Id: I8f2b818eb7adc8435ccc59eff834fcd8e5e1d118 Closes-Bug: #1389085
481 lines
17 KiB
Python
481 lines
17 KiB
Python
#
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# Copyright 2012 New Dream Network, LLC (DreamHost)
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# Copyright 2013 IBM Corp.
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# Copyright 2013 eNovance <licensing@enovance.com>
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# Copyright Ericsson AB 2013. All rights reserved
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# Copyright 2014 Hewlett-Packard Company
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# Copyright 2015 Huawei Technologies Co., Ltd.
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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 base64
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import datetime
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from oslo_context import context
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from oslo_utils import timeutils
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import pecan
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from pecan import rest
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import six
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import wsme
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from wsme import types as wtypes
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import wsmeext.pecan as wsme_pecan
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from ceilometer.api.controllers.v2 import base
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from ceilometer.api.controllers.v2 import utils as v2_utils
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from ceilometer.api import rbac
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from ceilometer.i18n import _
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from ceilometer.openstack.common import log
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from ceilometer import sample
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from ceilometer import storage
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from ceilometer import utils
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LOG = log.getLogger(__name__)
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class OldSample(base.Base):
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"""A single measurement for a given meter and resource.
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This class is deprecated in favor of Sample.
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"""
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source = wtypes.text
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"The ID of the source that identifies where the sample comes from"
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counter_name = wsme.wsattr(wtypes.text, mandatory=True)
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"The name of the meter"
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# FIXME(dhellmann): Make this meter_name?
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counter_type = wsme.wsattr(wtypes.text, mandatory=True)
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"The type of the meter (see :ref:`measurements`)"
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# FIXME(dhellmann): Make this meter_type?
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counter_unit = wsme.wsattr(wtypes.text, mandatory=True)
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"The unit of measure for the value in counter_volume"
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# FIXME(dhellmann): Make this meter_unit?
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counter_volume = wsme.wsattr(float, mandatory=True)
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"The actual measured value"
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user_id = wtypes.text
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"The ID of the user who last triggered an update to the resource"
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project_id = wtypes.text
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"The ID of the project or tenant that owns the resource"
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resource_id = wsme.wsattr(wtypes.text, mandatory=True)
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"The ID of the :class:`Resource` for which the measurements are taken"
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timestamp = datetime.datetime
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"UTC date and time when the measurement was made"
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recorded_at = datetime.datetime
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"When the sample has been recorded."
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resource_metadata = {wtypes.text: wtypes.text}
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"Arbitrary metadata associated with the resource"
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message_id = wtypes.text
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"A unique identifier for the sample"
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def __init__(self, counter_volume=None, resource_metadata=None,
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timestamp=None, **kwds):
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resource_metadata = resource_metadata or {}
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if counter_volume is not None:
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counter_volume = float(counter_volume)
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resource_metadata = v2_utils.flatten_metadata(resource_metadata)
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# this is to make it easier for clients to pass a timestamp in
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if timestamp and isinstance(timestamp, six.string_types):
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timestamp = timeutils.parse_isotime(timestamp)
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super(OldSample, self).__init__(counter_volume=counter_volume,
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resource_metadata=resource_metadata,
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timestamp=timestamp, **kwds)
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if self.resource_metadata in (wtypes.Unset, None):
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self.resource_metadata = {}
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@classmethod
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def sample(cls):
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return cls(source='openstack',
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counter_name='instance',
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counter_type='gauge',
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counter_unit='instance',
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counter_volume=1,
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resource_id='bd9431c1-8d69-4ad3-803a-8d4a6b89fd36',
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project_id='35b17138-b364-4e6a-a131-8f3099c5be68',
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user_id='efd87807-12d2-4b38-9c70-5f5c2ac427ff',
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recorded_at=datetime.datetime.utcnow(),
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timestamp=datetime.datetime.utcnow(),
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resource_metadata={'name1': 'value1',
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'name2': 'value2'},
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message_id='5460acce-4fd6-480d-ab18-9735ec7b1996',
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)
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class Statistics(base.Base):
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"""Computed statistics for a query."""
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groupby = {wtypes.text: wtypes.text}
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"Dictionary of field names for group, if groupby statistics are requested"
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unit = wtypes.text
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"The unit type of the data set"
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min = float
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"The minimum volume seen in the data"
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max = float
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"The maximum volume seen in the data"
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avg = float
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"The average of all of the volume values seen in the data"
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sum = float
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"The total of all of the volume values seen in the data"
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count = int
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"The number of samples seen"
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aggregate = {wtypes.text: float}
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"The selectable aggregate value(s)"
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duration = float
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"The difference, in seconds, between the oldest and newest timestamp"
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duration_start = datetime.datetime
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"UTC date and time of the earliest timestamp, or the query start time"
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duration_end = datetime.datetime
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"UTC date and time of the oldest timestamp, or the query end time"
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period = int
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"The difference, in seconds, between the period start and end"
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period_start = datetime.datetime
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"UTC date and time of the period start"
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period_end = datetime.datetime
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"UTC date and time of the period end"
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def __init__(self, start_timestamp=None, end_timestamp=None, **kwds):
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super(Statistics, self).__init__(**kwds)
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self._update_duration(start_timestamp, end_timestamp)
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def _update_duration(self, start_timestamp, end_timestamp):
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# "Clamp" the timestamps we return to the original time
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# range, excluding the offset.
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if (start_timestamp and
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self.duration_start and
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self.duration_start < start_timestamp):
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self.duration_start = start_timestamp
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LOG.debug(_('clamping min timestamp to range'))
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if (end_timestamp and
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self.duration_end and
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self.duration_end > end_timestamp):
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self.duration_end = end_timestamp
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LOG.debug(_('clamping max timestamp to range'))
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# If we got valid timestamps back, compute a duration in seconds.
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#
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# If the min > max after clamping then we know the
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# timestamps on the samples fell outside of the time
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# range we care about for the query, so treat them as
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# "invalid."
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#
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# If the timestamps are invalid, return None as a
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# sentinel indicating that there is something "funny"
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# about the range.
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if (self.duration_start and
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self.duration_end and
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self.duration_start <= self.duration_end):
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self.duration = timeutils.delta_seconds(self.duration_start,
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self.duration_end)
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else:
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self.duration_start = self.duration_end = self.duration = None
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@classmethod
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def sample(cls):
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return cls(unit='GiB',
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min=1,
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max=9,
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avg=4.5,
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sum=45,
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count=10,
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duration_start=datetime.datetime(2013, 1, 4, 16, 42),
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duration_end=datetime.datetime(2013, 1, 4, 16, 47),
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period=7200,
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period_start=datetime.datetime(2013, 1, 4, 16, 00),
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period_end=datetime.datetime(2013, 1, 4, 18, 00),
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)
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class Aggregate(base.Base):
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func = wsme.wsattr(wtypes.text, mandatory=True)
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"The aggregation function name"
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param = wsme.wsattr(wtypes.text, default=None)
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"The paramter to the aggregation function"
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def __init__(self, **kwargs):
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super(Aggregate, self).__init__(**kwargs)
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@staticmethod
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def validate(aggregate):
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return aggregate
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@classmethod
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def sample(cls):
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return cls(func='cardinality',
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param='resource_id')
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def _validate_groupby_fields(groupby_fields):
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"""Checks that the list of groupby fields from request is valid.
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If all fields are valid, returns fields with duplicates removed.
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"""
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# NOTE(terriyu): Currently, metadata fields are supported in our
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# group by statistics implementation only for mongodb
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valid_fields = set(['user_id', 'resource_id', 'project_id', 'source',
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'resource_metadata.instance_type'])
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invalid_fields = set(groupby_fields) - valid_fields
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if invalid_fields:
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raise wsme.exc.UnknownArgument(invalid_fields,
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"Invalid groupby fields")
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# Remove duplicate fields
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# NOTE(terriyu): This assumes that we don't care about the order of the
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# group by fields.
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return list(set(groupby_fields))
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class MeterController(rest.RestController):
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"""Manages operations on a single meter."""
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_custom_actions = {
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'statistics': ['GET'],
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}
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def __init__(self, meter_name):
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pecan.request.context['meter_name'] = meter_name
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self.meter_name = meter_name
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@wsme_pecan.wsexpose([OldSample], [base.Query], int)
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def get_all(self, q=None, limit=None):
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"""Return samples for the meter.
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:param q: Filter rules for the data to be returned.
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:param limit: Maximum number of samples to return.
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"""
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rbac.enforce('get_samples', pecan.request)
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q = q or []
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if limit and limit < 0:
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raise base.ClientSideError(_("Limit must be positive"))
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kwargs = v2_utils.query_to_kwargs(q, storage.SampleFilter.__init__)
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kwargs['meter'] = self.meter_name
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f = storage.SampleFilter(**kwargs)
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return [OldSample.from_db_model(e)
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for e in pecan.request.storage_conn.get_samples(f, limit=limit)
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]
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@wsme_pecan.wsexpose([OldSample], body=[OldSample])
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def post(self, samples):
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"""Post a list of new Samples to Telemetry.
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:param samples: a list of samples within the request body.
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"""
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rbac.enforce('create_samples', pecan.request)
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now = timeutils.utcnow()
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auth_project = rbac.get_limited_to_project(pecan.request.headers)
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def_source = pecan.request.cfg.sample_source
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def_project_id = pecan.request.headers.get('X-Project-Id')
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def_user_id = pecan.request.headers.get('X-User-Id')
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published_samples = []
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for s in samples:
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if self.meter_name != s.counter_name:
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raise wsme.exc.InvalidInput('counter_name', s.counter_name,
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'should be %s' % self.meter_name)
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if s.message_id:
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raise wsme.exc.InvalidInput('message_id', s.message_id,
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'The message_id must not be set')
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if s.counter_type not in sample.TYPES:
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raise wsme.exc.InvalidInput('counter_type', s.counter_type,
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'The counter type must be: ' +
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', '.join(sample.TYPES))
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s.user_id = (s.user_id or def_user_id)
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s.project_id = (s.project_id or def_project_id)
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s.source = '%s:%s' % (s.project_id, (s.source or def_source))
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s.timestamp = (s.timestamp or now)
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if auth_project and auth_project != s.project_id:
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# non admin user trying to cross post to another project_id
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auth_msg = 'can not post samples to other projects'
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raise wsme.exc.InvalidInput('project_id', s.project_id,
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auth_msg)
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published_sample = sample.Sample(
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name=s.counter_name,
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type=s.counter_type,
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unit=s.counter_unit,
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volume=s.counter_volume,
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user_id=s.user_id,
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project_id=s.project_id,
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resource_id=s.resource_id,
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timestamp=s.timestamp.isoformat(),
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resource_metadata=utils.restore_nesting(s.resource_metadata,
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separator='.'),
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source=s.source)
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published_samples.append(published_sample)
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s.message_id = published_sample.id
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with pecan.request.pipeline_manager.publisher(
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context.get_admin_context()) as publisher:
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publisher(published_samples)
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return samples
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@wsme_pecan.wsexpose([Statistics],
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[base.Query], [unicode], int, [Aggregate])
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def statistics(self, q=None, groupby=None, period=None, aggregate=None):
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"""Computes the statistics of the samples in the time range given.
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:param q: Filter rules for the data to be returned.
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:param groupby: Fields for group by aggregation
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:param period: Returned result will be an array of statistics for a
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period long of that number of seconds.
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:param aggregate: The selectable aggregation functions to be applied.
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"""
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rbac.enforce('compute_statistics', pecan.request)
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q = q or []
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groupby = groupby or []
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aggregate = aggregate or []
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if period and period < 0:
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raise base.ClientSideError(_("Period must be positive."))
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kwargs = v2_utils.query_to_kwargs(q, storage.SampleFilter.__init__)
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kwargs['meter'] = self.meter_name
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f = storage.SampleFilter(**kwargs)
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g = _validate_groupby_fields(groupby)
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aggregate = utils.uniq(aggregate, ['func', 'param'])
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# Find the original timestamp in the query to use for clamping
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# the duration returned in the statistics.
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start = end = None
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for i in q:
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if i.field == 'timestamp' and i.op in ('lt', 'le'):
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end = timeutils.parse_isotime(i.value).replace(
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tzinfo=None)
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elif i.field == 'timestamp' and i.op in ('gt', 'ge'):
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start = timeutils.parse_isotime(i.value).replace(
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tzinfo=None)
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try:
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computed = pecan.request.storage_conn.get_meter_statistics(
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f, period, g, aggregate)
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LOG.debug(_('computed value coming from %r'),
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pecan.request.storage_conn)
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return [Statistics(start_timestamp=start,
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end_timestamp=end,
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**c.as_dict())
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for c in computed]
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except OverflowError as e:
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params = dict(period=period, err=e)
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raise base.ClientSideError(
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_("Invalid period %(period)s: %(err)s") % params)
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class Meter(base.Base):
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"""One category of measurements."""
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name = wtypes.text
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"The unique name for the meter"
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type = wtypes.Enum(str, *sample.TYPES)
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"The meter type (see :ref:`measurements`)"
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unit = wtypes.text
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"The unit of measure"
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resource_id = wtypes.text
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"The ID of the :class:`Resource` for which the measurements are taken"
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project_id = wtypes.text
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"The ID of the project or tenant that owns the resource"
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user_id = wtypes.text
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"The ID of the user who last triggered an update to the resource"
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source = wtypes.text
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"The ID of the source that identifies where the meter comes from"
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meter_id = wtypes.text
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"The unique identifier for the meter"
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def __init__(self, **kwargs):
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meter_id = '%s+%s' % (kwargs['resource_id'], kwargs['name'])
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# meter_id is of type Unicode but base64.encodestring() only accepts
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# strings. See bug #1333177
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meter_id = base64.encodestring(meter_id.encode('utf-8'))
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kwargs['meter_id'] = meter_id
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super(Meter, self).__init__(**kwargs)
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@classmethod
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def sample(cls):
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return cls(name='instance',
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type='gauge',
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unit='instance',
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resource_id='bd9431c1-8d69-4ad3-803a-8d4a6b89fd36',
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project_id='35b17138-b364-4e6a-a131-8f3099c5be68',
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user_id='efd87807-12d2-4b38-9c70-5f5c2ac427ff',
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source='openstack',
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)
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class MetersController(rest.RestController):
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"""Works on meters."""
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@pecan.expose()
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def _lookup(self, meter_name, *remainder):
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return MeterController(meter_name), remainder
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@wsme_pecan.wsexpose([Meter], [base.Query])
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def get_all(self, q=None):
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"""Return all known meters, based on the data recorded so far.
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:param q: Filter rules for the meters to be returned.
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"""
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rbac.enforce('get_meters', pecan.request)
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q = q or []
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# Timestamp field is not supported for Meter queries
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kwargs = v2_utils.query_to_kwargs(
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q, pecan.request.storage_conn.get_meters, allow_timestamps=False)
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return [Meter.from_db_model(m)
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for m in pecan.request.storage_conn.get_meters(**kwargs)]
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