# cloudkitty.api.v1.datamodels.storage

# Source code for cloudkitty.api.v1.datamodels.storage

    # -*- coding: utf-8 -*-
    # Copyright 2014 Objectif Libre
    #
    #    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.
    #
    import datetime
    import decimal

    from wsme import types as wtypes

    from cloudkitty.api.v1.datamodels import rating as rating_resources

    class RatedResource(rating_resources.CloudkittyResource):
        """Represents a rated CloudKitty resource."""

        rating = decimal.Decimal

        def to_json(self):
            res_dict = super(RatedResource, self).to_json()
            res_dict['rating'] = self.rating
            return res_dict

        @classmethod
        def sample(cls):
            sample = cls(volume=decimal.Decimal('1.0'),
                         service='compute',
                         rating=decimal.Decimal('1.0'),
                         desc={'flavor': 'm1.tiny', 'vcpus': '1'})
            return sample

    class DataFrame(wtypes.Base):
        """Type describing a stored data frame."""

        begin = datetime.datetime
        """Begin date for the sample."""

        end = datetime.datetime
        """End date for the sample."""

        tenant_id = wtypes.text
        """Tenant owner of the sample."""

        resources = [RatedResource]
        """A resource list."""

        def to_json(self):
            return {'begin': self.begin,
                    'end': self.end,
                    'tenant_id': self.tenant_id,
                    'resources': self.resources}

        @classmethod
        def sample(cls):
            res_sample = RatedResource.sample()
            sample = cls(tenant_id='69d12143688f413cbf5c3cfe03ed0a12',
                         begin=datetime.datetime(2015, 4, 22, 7),
                         end=datetime.datetime(2015, 4, 22, 8),
                         resources=[res_sample])
            return sample

    class DataFrameCollection(wtypes.Base):
        """A list of stored data frames."""

        dataframes = [DataFrame]

        @classmethod
        def sample(cls):
            sample = DataFrame.sample()
            return cls(dataframes=[sample])

this page last updated: 2026-04-13 10:31:45

Except where otherwise noted, this document is licensed under Creative Commons Attribution 3.0 License. See all OpenStack Legal Documents.

found an error? report a bug