59 lines
2.0 KiB
Python
59 lines
2.0 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2018 Objectif Libre
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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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#
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import copy
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import random
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from oslo_utils import uuidutils
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from cloudkitty import dataframe
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from cloudkitty.tests import samples
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def generate_v2_storage_data(min_length=10,
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nb_projects=2,
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project_ids=None,
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start=None,
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end=None):
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if not project_ids:
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project_ids = [uuidutils.generate_uuid() for i in range(nb_projects)]
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elif not isinstance(project_ids, list):
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project_ids = [project_ids]
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df = dataframe.DataFrame(start=start, end=end)
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for metric_name, sample in samples.V2_STORAGE_SAMPLE.items():
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datapoints = []
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for project_id in project_ids:
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data = [copy.deepcopy(sample)
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for i in range(min_length + random.randint(1, 10))]
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for elem in data:
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elem['groupby']['id'] = uuidutils.generate_uuid()
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elem['groupby']['project_id'] = project_id
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datapoints += [dataframe.DataPoint(
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elem['vol']['unit'],
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elem['vol']['qty'],
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elem['rating']['price'],
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elem['groupby'],
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elem['metadata'],
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) for elem in data]
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df.add_points(datapoints, metric_name)
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return df
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def load_conf(*args):
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return samples.DEFAULT_METRICS_CONF
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