# # Copyright 2013 New Dream Network, LLC (DreamHost) # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. """Model classes for use in the storage API. """ from ceilometer.storage import base class Resource(base.Model): """Something for which sample data has been collected.""" def __init__(self, resource_id, project_id, first_sample_timestamp, last_sample_timestamp, source, user_id, metadata): """Create a new resource. :param resource_id: UUID of the resource :param project_id: UUID of project owning the resource :param first_sample_timestamp: first sample timestamp captured :param last_sample_timestamp: last sample timestamp captured :param source: the identifier for the user/project id definition :param user_id: UUID of user owning the resource :param metadata: most current metadata for the resource (a dict) """ base.Model.__init__(self, resource_id=resource_id, first_sample_timestamp=first_sample_timestamp, last_sample_timestamp=last_sample_timestamp, project_id=project_id, source=source, user_id=user_id, metadata=metadata, ) class Meter(base.Model): """Definition of a meter for which sample data has been collected.""" def __init__(self, name, type, unit, resource_id, project_id, source, user_id): """Create a new meter. :param name: name of the meter :param type: type of the meter (gauge, delta, cumulative) :param unit: unit of the meter :param resource_id: UUID of the resource :param project_id: UUID of project owning the resource :param source: the identifier for the user/project id definition :param user_id: UUID of user owning the resource """ base.Model.__init__(self, name=name, type=type, unit=unit, resource_id=resource_id, project_id=project_id, source=source, user_id=user_id, ) class Sample(base.Model): """One collected data point.""" def __init__(self, source, counter_name, counter_type, counter_unit, counter_volume, user_id, project_id, resource_id, timestamp, resource_metadata, message_id, message_signature, recorded_at, ): """Create a new sample. :param source: the identifier for the user/project id definition :param counter_name: the name of the measurement being taken :param counter_type: the type of the measurement :param counter_unit: the units for the measurement :param counter_volume: the measured value :param user_id: the user that triggered the measurement :param project_id: the project that owns the resource :param resource_id: the thing on which the measurement was taken :param timestamp: the time of the measurement :param resource_metadata: extra details about the resource :param message_id: a message identifier :param recorded_at: sample record timestamp :param message_signature: a hash created from the rest of the message data """ base.Model.__init__(self, source=source, counter_name=counter_name, counter_type=counter_type, counter_unit=counter_unit, counter_volume=counter_volume, user_id=user_id, project_id=project_id, resource_id=resource_id, timestamp=timestamp, resource_metadata=resource_metadata, message_id=message_id, message_signature=message_signature, recorded_at=recorded_at) class Statistics(base.Model): """Computed statistics based on a set of sample data.""" def __init__(self, unit, period, period_start, period_end, duration, duration_start, duration_end, groupby, **data): """Create a new statistics object. :param unit: The unit type of the data set :param period: The length of the time range covered by these stats :param period_start: The timestamp for the start of the period :param period_end: The timestamp for the end of the period :param duration: The total time for the matching samples :param duration_start: The earliest time for the matching samples :param duration_end: The latest time for the matching samples :param groupby: The fields used to group the samples. :param data: some or all of the following aggregates min: The smallest volume found max: The largest volume found avg: The average of all volumes found sum: The total of all volumes found count: The number of samples found aggregate: name-value pairs for selectable aggregates """ base.Model.__init__(self, unit=unit, period=period, period_start=period_start, period_end=period_end, duration=duration, duration_start=duration_start, duration_end=duration_end, groupby=groupby, **data)